id	sid	tid	token	lemma	pos
brj-23824	1	1	peer	peer	NOUN
brj-23824	1	2	-	-	PUNCT
brj-23824	1	3	reviewed	review	VERB
brj-23824	1	4	article	article	NOUN
brj-23824	1	5	peer	peer	NOUN
brj-23824	1	6	-	-	PUNCT
brj-23824	1	7	reviewed	review	VERB
brj-23824	1	8	article__________________bioresources.cnr.ncsu.edu	article__________________bioresources.cnr.ncsu.edu	NOUN
brj-23824	1	9	lee	lee	PROPN
brj-23824	1	10	et	et	PROPN
brj-23824	1	11	al	al	PROPN
brj-23824	1	12	.	.	PROPN
brj-23824	1	13	(	(	PUNCT
brj-23824	1	14	2024	2024	NUM
brj-23824	1	15	)	)	PUNCT
brj-23824	1	16	.	.	PUNCT
brj-23824	2	1	“	"	PUNCT
brj-23824	2	2	wire	wire	NOUN
brj-23824	2	3	mark	mark	NOUN
brj-23824	2	4	as	as	ADP
brj-23824	2	5	forensic	forensic	ADJ
brj-23824	2	6	evidence	evidence	NOUN
brj-23824	2	7	,	,	PUNCT
brj-23824	2	8	”	"	PUNCT
brj-23824	2	9	bioresources	bioresource	NOUN
brj-23824	2	10	19(4	19(4	NUM
brj-23824	2	11	)	)	PUNCT
brj-23824	2	12	,	,	PUNCT
brj-23824	2	13	7591	7591	NUM
brj-23824	2	14	-	-	SYM
brj-23824	2	15	7605	7605	NUM
brj-23824	2	16	.	.	PUNCT
brj-23824	3	1	7591	7591	NUM
brj-23824	3	2	paper	paper	NOUN
brj-23824	3	3	fingerprint	fingerprint	NOUN
brj-23824	3	4	by	by	ADP
brj-23824	3	5	forming	form	VERB
brj-23824	3	6	fabric	fabric	NOUN
brj-23824	3	7	:	:	PUNCT
brj-23824	3	8	analysis	analysis	NOUN
brj-23824	3	9	of	of	ADP
brj-23824	3	10	periodic	periodic	ADJ
brj-23824	3	11	marks	mark	NOUN
brj-23824	3	12	with	with	ADP
brj-23824	3	13	2d	2d	NUM
brj-23824	3	14	lab	lab	NOUN
brj-23824	3	15	formation	formation	NOUN
brj-23824	3	16	sensor	sensor	NOUN
brj-23824	3	17	and	and	CCONJ
brj-23824	3	18	artificial	artificial	ADJ
brj-23824	3	19	neural	neural	ADJ
brj-23824	3	20	network	network	NOUN
brj-23824	3	21	for	for	ADP
brj-23824	3	22	forensic	forensic	ADJ
brj-23824	3	23	document	document	NOUN
brj-23824	3	24	dating	date	VERB
brj-23824	3	25	yong	yong	PROPN
brj-23824	3	26	-	-	PUNCT
brj-23824	3	27	ju	ju	PROPN
brj-23824	3	28	lee	lee	PROPN
brj-23824	3	29	,	,	PUNCT
brj-23824	3	30	a	a	DET
brj-23824	3	31	chang	chang	PROPN
brj-23824	3	32	woo	woo	PROPN
brj-23824	3	33	jeong	jeong	PROPN
brj-23824	3	34	,	,	PUNCT
brj-23824	3	35	b	b	PROPN
brj-23824	3	36	and	and	CCONJ
brj-23824	3	37	hyoung	hyoung	PROPN
brj-23824	3	38	jin	jin	PROPN
brj-23824	3	39	kim	kim	PROPN
brj-23824	3	40	a	a	PROPN
brj-23824	3	41	,	,	PUNCT
brj-23824	3	42	*	*	PUNCT
brj-23824	3	43	the	the	DET
brj-23824	3	44	increasing	increase	VERB
brj-23824	3	45	rates	rate	NOUN
brj-23824	3	46	of	of	ADP
brj-23824	3	47	illicit	illicit	ADJ
brj-23824	3	48	behaviors	behavior	NOUN
brj-23824	3	49	,	,	PUNCT
brj-23824	3	50	particularly	particularly	ADV
brj-23824	3	51	financial	financial	ADJ
brj-23824	3	52	crimes	crime	NOUN
brj-23824	3	53	,	,	PUNCT
brj-23824	3	54	e.g.	e.g.	ADV
brj-23824	3	55	,	,	PUNCT
brj-23824	3	56	bank	bank	NOUN
brj-23824	3	57	fraud	fraud	NOUN
brj-23824	3	58	and	and	CCONJ
brj-23824	3	59	tax	tax	NOUN
brj-23824	3	60	evasion	evasion	NOUN
brj-23824	3	61	,	,	PUNCT
brj-23824	3	62	adversely	adversely	ADV
brj-23824	3	63	affect	affect	VERB
brj-23824	3	64	national	national	ADJ
brj-23824	3	65	economies	economy	NOUN
brj-23824	3	66	.	.	PUNCT
brj-23824	4	1	in	in	ADP
brj-23824	4	2	such	such	ADJ
brj-23824	4	3	cases	case	NOUN
brj-23824	4	4	,	,	PUNCT
brj-23824	4	5	using	use	VERB
brj-23824	4	6	nondestructive	nondestructive	ADJ
brj-23824	4	7	methods	method	NOUN
brj-23824	4	8	,	,	PUNCT
brj-23824	4	9	scientists	scientist	NOUN
brj-23824	4	10	must	must	AUX
brj-23824	4	11	evaluate	evaluate	VERB
brj-23824	4	12	relevant	relevant	ADJ
brj-23824	4	13	documents	document	NOUN
brj-23824	4	14	carefully	carefully	ADV
brj-23824	4	15	to	to	PART
brj-23824	4	16	preserve	preserve	VERB
brj-23824	4	17	their	their	PRON
brj-23824	4	18	value	value	NOUN
brj-23824	4	19	as	as	ADP
brj-23824	4	20	evidence	evidence	NOUN
brj-23824	4	21	.	.	PUNCT
brj-23824	5	1	when	when	SCONJ
brj-23824	5	2	forensic	forensic	ADJ
brj-23824	5	3	laboratories	laboratory	NOUN
brj-23824	5	4	analyze	analyze	VERB
brj-23824	5	5	paper	paper	NOUN
brj-23824	5	6	as	as	ADP
brj-23824	5	7	evidence	evidence	NOUN
brj-23824	5	8	,	,	PUNCT
brj-23824	5	9	they	they	PRON
brj-23824	5	10	typically	typically	ADV
brj-23824	5	11	investigate	investigate	VERB
brj-23824	5	12	its	its	PRON
brj-23824	5	13	origin	origin	NOUN
brj-23824	5	14	and	and	CCONJ
brj-23824	5	15	date	date	NOUN
brj-23824	5	16	of	of	ADP
brj-23824	5	17	manufacture	manufacture	NOUN
brj-23824	5	18	.	.	PUNCT
brj-23824	6	1	if	if	SCONJ
brj-23824	6	2	a	a	DET
brj-23824	6	3	document	document	NOUN
brj-23824	6	4	’s	’s	PART
brj-23824	6	5	date	date	NOUN
brj-23824	6	6	is	be	AUX
brj-23824	6	7	earlier	early	ADJ
brj-23824	6	8	than	than	ADP
brj-23824	6	9	the	the	DET
brj-23824	6	10	earliest	early	ADJ
brj-23824	6	11	availability	availability	NOUN
brj-23824	6	12	of	of	ADP
brj-23824	6	13	the	the	DET
brj-23824	6	14	paper	paper	NOUN
brj-23824	6	15	used	use	VERB
brj-23824	6	16	in	in	ADP
brj-23824	6	17	its	its	PRON
brj-23824	6	18	creation	creation	NOUN
brj-23824	6	19	,	,	PUNCT
brj-23824	6	20	then	then	ADV
brj-23824	6	21	this	this	DET
brj-23824	6	22	anachronism	anachronism	NOUN
brj-23824	6	23	indicates	indicate	VERB
brj-23824	6	24	that	that	SCONJ
brj-23824	6	25	the	the	DET
brj-23824	6	26	document	document	NOUN
brj-23824	6	27	has	have	AUX
brj-23824	6	28	been	be	AUX
brj-23824	6	29	backdated	backdate	VERB
brj-23824	6	30	.	.	PUNCT
brj-23824	7	1	this	this	DET
brj-23824	7	2	study	study	NOUN
brj-23824	7	3	investigated	investigate	VERB
brj-23824	7	4	weave	weave	NOUN
brj-23824	7	5	marks	mark	NOUN
brj-23824	7	6	and	and	CCONJ
brj-23824	7	7	drainage	drainage	NOUN
brj-23824	7	8	marks	mark	NOUN
brj-23824	7	9	for	for	ADP
brj-23824	7	10	forensic	forensic	ADJ
brj-23824	7	11	purposes	purpose	NOUN
brj-23824	7	12	.	.	PUNCT
brj-23824	8	1	machine	machine	NOUN
brj-23824	8	2	learning	learning	NOUN
brj-23824	8	3	models	model	NOUN
brj-23824	8	4	for	for	ADP
brj-23824	8	5	forensic	forensic	ADJ
brj-23824	8	6	document	document	NOUN
brj-23824	8	7	examination	examination	NOUN
brj-23824	8	8	were	be	AUX
brj-23824	8	9	developed	develop	VERB
brj-23824	8	10	and	and	CCONJ
brj-23824	8	11	evaluated	evaluate	VERB
brj-23824	8	12	.	.	PUNCT
brj-23824	9	1	the	the	DET
brj-23824	9	2	partial	partial	ADJ
brj-23824	9	3	least	least	ADJ
brj-23824	9	4	squares	square	NOUN
brj-23824	9	5	discriminant	discriminant	ADJ
brj-23824	9	6	analysis	analysis	NOUN
brj-23824	9	7	(	(	PUNCT
brj-23824	9	8	pls	pls	INTJ
brj-23824	9	9	-	-	PUNCT
brj-23824	9	10	da	da	NOUN
brj-23824	9	11	)	)	PUNCT
brj-23824	9	12	,	,	PUNCT
brj-23824	9	13	support	support	NOUN
brj-23824	9	14	vector	vector	NOUN
brj-23824	9	15	machine	machine	NOUN
brj-23824	9	16	(	(	PUNCT
brj-23824	9	17	svm	svm	PROPN
brj-23824	9	18	)	)	PUNCT
brj-23824	9	19	,	,	PUNCT
brj-23824	9	20	and	and	CCONJ
brj-23824	9	21	artificial	artificial	ADJ
brj-23824	9	22	neural	neural	ADJ
brj-23824	9	23	network	network	NOUN
brj-23824	9	24	(	(	PUNCT
brj-23824	9	25	ann	ann	PROPN
brj-23824	9	26	)	)	PUNCT
brj-23824	9	27	classification	classification	NOUN
brj-23824	9	28	models	model	NOUN
brj-23824	9	29	achieved	achieve	VERB
brj-23824	9	30	f1	f1	NOUN
brj-23824	9	31	-	-	PUNCT
brj-23824	9	32	scores	score	NOUN
brj-23824	9	33	of	of	ADP
brj-23824	9	34	0.903	0.903	NUM
brj-23824	9	35	,	,	PUNCT
brj-23824	9	36	0.952	0.952	NUM
brj-23824	9	37	,	,	PUNCT
brj-23824	9	38	and	and	CCONJ
brj-23824	9	39	0.931	0.931	NUM
brj-23824	9	40	,	,	PUNCT
brj-23824	9	41	respectively	respectively	ADV
brj-23824	9	42	.	.	PUNCT
brj-23824	10	1	in	in	ADP
brj-23824	10	2	addition	addition	NOUN
brj-23824	10	3	,	,	PUNCT
brj-23824	10	4	to	to	PART
brj-23824	10	5	enhance	enhance	VERB
brj-23824	10	6	model	model	NOUN
brj-23824	10	7	effectiveness	effectiveness	NOUN
brj-23824	10	8	and	and	CCONJ
brj-23824	10	9	construct	construct	VERB
brj-23824	10	10	a	a	DET
brj-23824	10	11	robust	robust	ADJ
brj-23824	10	12	model	model	NOUN
brj-23824	10	13	,	,	PUNCT
brj-23824	10	14	variables	variable	NOUN
brj-23824	10	15	were	be	AUX
brj-23824	10	16	selected	select	VERB
brj-23824	10	17	using	use	VERB
brj-23824	10	18	the	the	DET
brj-23824	10	19	vip	vip	NOUN
brj-23824	10	20	scores	score	NOUN
brj-23824	10	21	generated	generate	VERB
brj-23824	10	22	by	by	ADP
brj-23824	10	23	the	the	DET
brj-23824	10	24	pls	pls	PROPN
brj-23824	10	25	-	-	PUNCT
brj-23824	10	26	da	da	NOUN
brj-23824	10	27	model	model	NOUN
brj-23824	10	28	.	.	PUNCT
brj-23824	11	1	as	as	ADP
brj-23824	11	2	a	a	DET
brj-23824	11	3	result	result	NOUN
brj-23824	11	4	,	,	PUNCT
brj-23824	11	5	the	the	DET
brj-23824	11	6	softmax	softmax	NOUN
brj-23824	11	7	classifier	classifier	NOUN
brj-23824	11	8	in	in	ADP
brj-23824	11	9	the	the	DET
brj-23824	11	10	ann	ann	PROPN
brj-23824	11	11	model	model	NOUN
brj-23824	11	12	maintained	maintain	VERB
brj-23824	11	13	its	its	PRON
brj-23824	11	14	performance	performance	NOUN
brj-23824	11	15	with	with	ADP
brj-23824	11	16	an	an	DET
brj-23824	11	17	f1	f1	NOUN
brj-23824	11	18	-	-	PUNCT
brj-23824	11	19	score	score	NOUN
brj-23824	11	20	of	of	ADP
brj-23824	11	21	0.951	0.951	NUM
brj-23824	11	22	even	even	ADV
brj-23824	11	23	with	with	ADP
brj-23824	11	24	a	a	DET
brj-23824	11	25	50	50	NUM
brj-23824	11	26	%	%	NOUN
brj-23824	11	27	reduction	reduction	NOUN
brj-23824	11	28	in	in	ADP
brj-23824	11	29	the	the	DET
brj-23824	11	30	number	number	NOUN
brj-23824	11	31	of	of	ADP
brj-23824	11	32	input	input	NOUN
brj-23824	11	33	variables	variable	NOUN
brj-23824	11	34	.	.	PUNCT
brj-23824	12	1	doi	doi	NOUN
brj-23824	12	2	:	:	PUNCT
brj-23824	12	3	10.15376	10.15376	NUM
brj-23824	12	4	/	/	SYM
brj-23824	12	5	biores.19.4.7591	biores.19.4.7591	NOUN
brj-23824	12	6	-	-	PUNCT
brj-23824	12	7	7605	7605	NUM
brj-23824	12	8	keywords	keyword	NOUN
brj-23824	12	9	:	:	PUNCT
brj-23824	12	10	forensic	forensic	ADJ
brj-23824	12	11	document	document	NOUN
brj-23824	12	12	dating	date	VERB
brj-23824	12	13	;	;	PUNCT
brj-23824	12	14	copy	copy	VERB
brj-23824	12	15	paper	paper	NOUN
brj-23824	12	16	;	;	PUNCT
brj-23824	12	17	classification	classification	NOUN
brj-23824	12	18	;	;	PUNCT
brj-23824	12	19	artificial	artificial	ADJ
brj-23824	12	20	neural	neural	ADJ
brj-23824	12	21	network	network	NOUN
brj-23824	12	22	(	(	PUNCT
brj-23824	12	23	ann	ann	PROPN
brj-23824	12	24	)	)	PUNCT
brj-23824	12	25	;	;	PUNCT
brj-23824	12	26	support	support	NOUN
brj-23824	12	27	vector	vector	NOUN
brj-23824	12	28	machine	machine	NOUN
brj-23824	12	29	(	(	PUNCT
brj-23824	12	30	svm	svm	ADJ
brj-23824	12	31	)	)	PUNCT
brj-23824	12	32	contact	contact	NOUN
brj-23824	12	33	information	information	NOUN
brj-23824	12	34	:	:	PUNCT
brj-23824	12	35	a	a	DET
brj-23824	12	36	:	:	PUNCT
brj-23824	12	37	department	department	NOUN
brj-23824	12	38	of	of	ADP
brj-23824	12	39	forest	forest	NOUN
brj-23824	12	40	products	product	NOUN
brj-23824	12	41	and	and	CCONJ
brj-23824	12	42	biotechnology	biotechnology	NOUN
brj-23824	12	43	,	,	PUNCT
brj-23824	12	44	kookmin	kookmin	PROPN
brj-23824	12	45	university	university	PROPN
brj-23824	12	46	,	,	PUNCT
brj-23824	12	47	77	77	NUM
brj-23824	12	48	jeongneung	jeongneung	NOUN
brj-23824	12	49	-	-	PUNCT
brj-23824	12	50	ro	ro	NOUN
brj-23824	12	51	,	,	PUNCT
brj-23824	12	52	seongbuk	seongbuk	NOUN
brj-23824	12	53	-	-	PUNCT
brj-23824	12	54	gu	gu	NOUN
brj-23824	12	55	,	,	PUNCT
brj-23824	12	56	seoul	seoul	PROPN
brj-23824	12	57	02707	02707	NUM
brj-23824	12	58	republic	republic	NOUN
brj-23824	12	59	of	of	ADP
brj-23824	12	60	korea	korea	PROPN
brj-23824	12	61	;	;	PUNCT
brj-23824	12	62	b	b	X
brj-23824	12	63	:	:	PUNCT
brj-23824	12	64	graduate	graduate	NOUN
brj-23824	12	65	school	school	NOUN
brj-23824	12	66	of	of	ADP
brj-23824	12	67	scientific	scientific	ADJ
brj-23824	12	68	criminal	criminal	ADJ
brj-23824	12	69	investigation	investigation	NOUN
brj-23824	12	70	,	,	PUNCT
brj-23824	12	71	chungnam	chungnam	NOUN
brj-23824	12	72	national	national	PROPN
brj-23824	12	73	university	university	PROPN
brj-23824	12	74	,	,	PUNCT
brj-23824	12	75	daejeon	daejeon	PROPN
brj-23824	12	76	34134	34134	NUM
brj-23824	12	77	,	,	PUNCT
brj-23824	12	78	korea	korea	PROPN
brj-23824	12	79	;	;	PUNCT
brj-23824	12	80	*	*	PUNCT
brj-23824	12	81	corresponding	correspond	VERB
brj-23824	12	82	author	author	NOUN
brj-23824	12	83	:	:	PUNCT
brj-23824	12	84	hyjikim@kookmin.ac.kr	hyjikim@kookmin.ac.kr	ADJ
brj-23824	12	85	introduction	introduction	NOUN
brj-23824	12	86	criminals	criminal	NOUN
brj-23824	12	87	have	have	AUX
brj-23824	12	88	access	access	NOUN
brj-23824	12	89	to	to	ADP
brj-23824	12	90	various	various	ADJ
brj-23824	12	91	sophisticated	sophisticated	ADJ
brj-23824	12	92	technologies	technology	NOUN
brj-23824	12	93	,	,	PUNCT
brj-23824	12	94	and	and	CCONJ
brj-23824	12	95	as	as	SCONJ
brj-23824	12	96	science	science	NOUN
brj-23824	12	97	and	and	CCONJ
brj-23824	12	98	technology	technology	NOUN
brj-23824	12	99	improve	improve	VERB
brj-23824	12	100	,	,	PUNCT
brj-23824	12	101	criminals	criminal	NOUN
brj-23824	12	102	become	become	AUX
brj-23824	12	103	increasingly	increasingly	ADV
brj-23824	12	104	experienced	experience	VERB
brj-23824	12	105	at	at	ADP
brj-23824	12	106	integrating	integrate	VERB
brj-23824	12	107	technologies	technology	NOUN
brj-23824	12	108	into	into	ADP
brj-23824	12	109	their	their	PRON
brj-23824	12	110	unlawful	unlawful	ADJ
brj-23824	12	111	activities	activity	NOUN
brj-23824	12	112	and	and	CCONJ
brj-23824	12	113	motives	motive	NOUN
brj-23824	12	114	to	to	PART
brj-23824	12	115	commit	commit	VERB
brj-23824	12	116	crimes	crime	NOUN
brj-23824	12	117	.	.	PUNCT
brj-23824	13	1	in	in	ADP
brj-23824	13	2	the	the	DET
brj-23824	13	3	document	document	NOUN
brj-23824	13	4	examination	examination	NOUN
brj-23824	13	5	field	field	NOUN
brj-23824	13	6	,	,	PUNCT
brj-23824	13	7	which	which	PRON
brj-23824	13	8	involves	involve	VERB
brj-23824	13	9	analyzing	analyze	VERB
brj-23824	13	10	documents	document	NOUN
brj-23824	13	11	to	to	PART
brj-23824	13	12	differentiate	differentiate	VERB
brj-23824	13	13	between	between	ADP
brj-23824	13	14	genuine	genuine	ADJ
brj-23824	13	15	and	and	CCONJ
brj-23824	13	16	forged	forge	VERB
brj-23824	13	17	documents	document	NOUN
brj-23824	13	18	,	,	PUNCT
brj-23824	13	19	identifying	identify	VERB
brj-23824	13	20	and	and	CCONJ
brj-23824	13	21	authenticating	authenticate	VERB
brj-23824	13	22	paper	paper	NOUN
brj-23824	13	23	documents	document	NOUN
brj-23824	13	24	,	,	PUNCT
brj-23824	13	25	and	and	CCONJ
brj-23824	13	26	determining	determine	VERB
brj-23824	13	27	their	their	PRON
brj-23824	13	28	relative	relative	ADJ
brj-23824	13	29	ages	age	NOUN
brj-23824	13	30	and	and	CCONJ
brj-23824	13	31	dates	date	NOUN
brj-23824	13	32	,	,	PUNCT
brj-23824	13	33	forensic	forensic	ADJ
brj-23824	13	34	document	document	NOUN
brj-23824	13	35	experts	expert	NOUN
brj-23824	13	36	face	face	VERB
brj-23824	13	37	an	an	DET
brj-23824	13	38	increasingly	increasingly	ADV
brj-23824	13	39	complex	complex	ADJ
brj-23824	13	40	challenge	challenge	NOUN
brj-23824	13	41	as	as	SCONJ
brj-23824	13	42	increasingly	increasingly	ADV
brj-23824	13	43	complicated	complicated	ADJ
brj-23824	13	44	criminal	criminal	ADJ
brj-23824	13	45	cases	case	NOUN
brj-23824	13	46	emerge	emerge	VERB
brj-23824	13	47	.	.	PUNCT
brj-23824	14	1	increased	increase	VERB
brj-23824	14	2	criminal	criminal	ADJ
brj-23824	14	3	activity	activity	NOUN
brj-23824	14	4	has	have	VERB
brj-23824	14	5	an	an	DET
brj-23824	14	6	economic	economic	ADJ
brj-23824	14	7	impact	impact	NOUN
brj-23824	14	8	through	through	ADP
brj-23824	14	9	tax	tax	NOUN
brj-23824	14	10	evasion	evasion	NOUN
brj-23824	14	11	,	,	PUNCT
brj-23824	14	12	bank	bank	NOUN
brj-23824	14	13	fraud	fraud	NOUN
brj-23824	14	14	,	,	PUNCT
brj-23824	14	15	counterfeiting	counterfeiting	NOUN
brj-23824	14	16	,	,	PUNCT
brj-23824	14	17	and	and	CCONJ
brj-23824	14	18	other	other	ADJ
brj-23824	14	19	financial	financial	ADJ
brj-23824	14	20	crimes	crime	NOUN
brj-23824	14	21	.	.	PUNCT
brj-23824	15	1	when	when	SCONJ
brj-23824	15	2	this	this	PRON
brj-23824	15	3	occurs	occur	VERB
brj-23824	15	4	,	,	PUNCT
brj-23824	15	5	the	the	DET
brj-23824	15	6	questioned	question	VERB
brj-23824	15	7	documents	document	NOUN
brj-23824	15	8	must	must	AUX
brj-23824	15	9	be	be	AUX
brj-23824	15	10	evaluated	evaluate	VERB
brj-23824	15	11	carefully	carefully	ADV
brj-23824	15	12	to	to	PART
brj-23824	15	13	preserve	preserve	VERB
brj-23824	15	14	their	their	PRON
brj-23824	15	15	evidence	evidence	NOUN
brj-23824	15	16	value	value	NOUN
brj-23824	15	17	using	use	VERB
brj-23824	15	18	nondestructive	nondestructive	ADJ
brj-23824	15	19	techniques	technique	NOUN
brj-23824	15	20	.	.	PUNCT
brj-23824	16	1	when	when	SCONJ
brj-23824	16	2	a	a	DET
brj-23824	16	3	paper	paper	NOUN
brj-23824	16	4	document	document	NOUN
brj-23824	16	5	is	be	AUX
brj-23824	16	6	analyzed	analyze	VERB
brj-23824	16	7	in	in	ADP
brj-23824	16	8	a	a	DET
brj-23824	16	9	forensic	forensic	ADJ
brj-23824	16	10	laboratory	laboratory	NOUN
brj-23824	16	11	,	,	PUNCT
brj-23824	16	12	the	the	DET
brj-23824	16	13	most	most	ADV
brj-23824	16	14	common	common	ADJ
brj-23824	16	15	processes	process	NOUN
brj-23824	16	16	involve	involve	VERB
brj-23824	16	17	determining	determine	VERB
brj-23824	16	18	when	when	SCONJ
brj-23824	16	19	and	and	CCONJ
brj-23824	16	20	where	where	SCONJ
brj-23824	16	21	it	it	PRON
brj-23824	16	22	was	be	AUX
brj-23824	16	23	manufactured	manufacture	VERB
brj-23824	16	24	.	.	PUNCT
brj-23824	17	1	without	without	ADP
brj-23824	17	2	eyewitnesses	eyewitness	NOUN
brj-23824	17	3	,	,	PUNCT
brj-23824	17	4	physical	physical	ADJ
brj-23824	17	5	or	or	CCONJ
brj-23824	17	6	chemical	chemical	ADJ
brj-23824	17	7	evidence	evidence	NOUN
brj-23824	17	8	alone	alone	ADV
brj-23824	17	9	can	can	AUX
brj-23824	17	10	not	not	PART
brj-23824	17	11	determine	determine	VERB
brj-23824	17	12	the	the	DET
brj-23824	17	13	precise	precise	ADJ
brj-23824	17	14	time	time	NOUN
brj-23824	17	15	a	a	DET
brj-23824	17	16	document	document	NOUN
brj-23824	17	17	was	be	AUX
brj-23824	17	18	written	write	VERB
brj-23824	17	19	accurately	accurately	ADV
brj-23824	17	20	.	.	PUNCT
brj-23824	18	1	this	this	DET
brj-23824	18	2	study	study	NOUN
brj-23824	18	3	is	be	AUX
brj-23824	18	4	peer	peer	NOUN
brj-23824	18	5	-	-	PUNCT
brj-23824	18	6	reviewed	review	VERB
brj-23824	18	7	article__________________bioresources.cnr.ncsu.edu	article__________________bioresources.cnr.ncsu.edu	NOUN
brj-23824	18	8	lee	lee	PROPN
brj-23824	18	9	et	et	PROPN
brj-23824	18	10	al	al	PROPN
brj-23824	18	11	.	.	PROPN
brj-23824	19	1	(	(	PUNCT
brj-23824	19	2	2024	2024	NUM
brj-23824	19	3	)	)	PUNCT
brj-23824	19	4	.	.	PUNCT
brj-23824	20	1	“	"	PUNCT
brj-23824	20	2	wire	wire	NOUN
brj-23824	20	3	mark	mark	NOUN
brj-23824	20	4	as	as	ADP
brj-23824	20	5	forensic	forensic	ADJ
brj-23824	20	6	evidence	evidence	NOUN
brj-23824	20	7	,	,	PUNCT
brj-23824	20	8	”	"	PUNCT
brj-23824	20	9	bioresources	bioresource	NOUN
brj-23824	20	10	19(4	19(4	NUM
brj-23824	20	11	)	)	PUNCT
brj-23824	20	12	,	,	PUNCT
brj-23824	20	13	7591	7591	NUM
brj-23824	20	14	-	-	SYM
brj-23824	20	15	7605	7605	NUM
brj-23824	20	16	.	.	PUNCT
brj-23824	21	1	7592	7592	NUM
brj-23824	21	2	based	base	VERB
brj-23824	21	3	on	on	ADP
brj-23824	21	4	an	an	DET
brj-23824	21	5	evaluation	evaluation	NOUN
brj-23824	21	6	of	of	ADP
brj-23824	21	7	the	the	DET
brj-23824	21	8	static	static	ADJ
brj-23824	21	9	properties	property	NOUN
brj-23824	21	10	of	of	ADP
brj-23824	21	11	a	a	DET
brj-23824	21	12	document	document	NOUN
brj-23824	21	13	in	in	ADP
brj-23824	21	14	terms	term	NOUN
brj-23824	21	15	of	of	ADP
brj-23824	21	16	its	its	PRON
brj-23824	21	17	alleged	allege	VERB
brj-23824	21	18	date	date	NOUN
brj-23824	21	19	.	.	PUNCT
brj-23824	22	1	the	the	DET
brj-23824	22	2	date	date	NOUN
brj-23824	22	3	at	at	ADP
brj-23824	22	4	which	which	PRON
brj-23824	22	5	the	the	DET
brj-23824	22	6	paper	paper	NOUN
brj-23824	22	7	was	be	AUX
brj-23824	22	8	originally	originally	ADV
brj-23824	22	9	made	make	VERB
brj-23824	22	10	available	available	ADJ
brj-23824	22	11	is	be	AUX
brj-23824	22	12	compared	compare	VERB
brj-23824	22	13	to	to	ADP
brj-23824	22	14	the	the	DET
brj-23824	22	15	document	document	NOUN
brj-23824	22	16	’s	’s	PART
brj-23824	22	17	date	date	NOUN
brj-23824	22	18	.	.	PUNCT
brj-23824	23	1	the	the	DET
brj-23824	23	2	earliest	early	ADJ
brj-23824	23	3	availability	availability	NOUN
brj-23824	23	4	of	of	ADP
brj-23824	23	5	any	any	DET
brj-23824	23	6	materials	material	NOUN
brj-23824	23	7	used	use	VERB
brj-23824	23	8	must	must	AUX
brj-23824	23	9	be	be	AUX
brj-23824	23	10	earlier	early	ADJ
brj-23824	23	11	than	than	ADP
brj-23824	23	12	the	the	DET
brj-23824	23	13	date	date	NOUN
brj-23824	23	14	of	of	ADP
brj-23824	23	15	the	the	DET
brj-23824	23	16	document	document	NOUN
brj-23824	23	17	.	.	PUNCT
brj-23824	24	1	if	if	SCONJ
brj-23824	24	2	the	the	DET
brj-23824	24	3	document	document	NOUN
brj-23824	24	4	’s	’s	PART
brj-23824	24	5	date	date	NOUN
brj-23824	24	6	is	be	AUX
brj-23824	24	7	earlier	early	ADJ
brj-23824	24	8	than	than	ADP
brj-23824	24	9	the	the	DET
brj-23824	24	10	earliest	early	ADJ
brj-23824	24	11	availability	availability	NOUN
brj-23824	24	12	of	of	ADP
brj-23824	24	13	the	the	DET
brj-23824	24	14	paper	paper	NOUN
brj-23824	24	15	used	use	VERB
brj-23824	24	16	in	in	ADP
brj-23824	24	17	its	its	PRON
brj-23824	24	18	creation	creation	NOUN
brj-23824	24	19	,	,	PUNCT
brj-23824	24	20	then	then	ADV
brj-23824	24	21	such	such	DET
brj-23824	24	22	an	an	DET
brj-23824	24	23	anachronism	anachronism	NOUN
brj-23824	24	24	is	be	AUX
brj-23824	24	25	consistent	consistent	ADJ
brj-23824	24	26	with	with	ADP
brj-23824	24	27	the	the	DET
brj-23824	24	28	document	document	NOUN
brj-23824	24	29	being	be	AUX
brj-23824	24	30	backdated	backdate	VERB
brj-23824	24	31	(	(	PUNCT
brj-23824	24	32	gupta	gupta	PROPN
brj-23824	24	33	2018	2018	NUM
brj-23824	24	34	)	)	PUNCT
brj-23824	24	35	.	.	PUNCT
brj-23824	25	1	traditionally	traditionally	ADV
brj-23824	25	2	,	,	PUNCT
brj-23824	25	3	the	the	DET
brj-23824	25	4	paper	paper	NOUN
brj-23824	25	5	discrimination	discrimination	NOUN
brj-23824	25	6	task	task	NOUN
brj-23824	25	7	involves	involve	VERB
brj-23824	25	8	assessing	assess	VERB
brj-23824	25	9	various	various	ADJ
brj-23824	25	10	physical	physical	ADJ
brj-23824	25	11	and	and	CCONJ
brj-23824	25	12	optical	optical	ADJ
brj-23824	25	13	properties	property	NOUN
brj-23824	25	14	,	,	PUNCT
brj-23824	25	15	e.g.	e.g.	ADV
brj-23824	25	16	,	,	PUNCT
brj-23824	25	17	tensile	tensile	NOUN
brj-23824	25	18	strength	strength	NOUN
brj-23824	25	19	,	,	PUNCT
brj-23824	25	20	thickness	thickness	NOUN
brj-23824	25	21	,	,	PUNCT
brj-23824	25	22	basis	basis	NOUN
brj-23824	25	23	weight	weight	NOUN
brj-23824	25	24	,	,	PUNCT
brj-23824	25	25	ash	ash	NOUN
brj-23824	25	26	content	content	NOUN
brj-23824	25	27	,	,	PUNCT
brj-23824	25	28	color	color	NOUN
brj-23824	25	29	,	,	PUNCT
brj-23824	25	30	and	and	CCONJ
brj-23824	25	31	fluorescence	fluorescence	NOUN
brj-23824	25	32	(	(	PUNCT
brj-23824	25	33	grant	grant	PROPN
brj-23824	25	34	1973	1973	NUM
brj-23824	25	35	)	)	PUNCT
brj-23824	25	36	.	.	PUNCT
brj-23824	26	1	however	however	ADV
brj-23824	26	2	,	,	PUNCT
brj-23824	26	3	it	it	PRON
brj-23824	26	4	is	be	AUX
brj-23824	26	5	difficult	difficult	ADJ
brj-23824	26	6	for	for	SCONJ
brj-23824	26	7	such	such	ADJ
brj-23824	26	8	methods	method	NOUN
brj-23824	26	9	to	to	PART
brj-23824	26	10	properly	properly	ADV
brj-23824	26	11	and	and	CCONJ
brj-23824	26	12	dependably	dependably	ADV
brj-23824	26	13	match	match	VERB
brj-23824	26	14	two	two	NUM
brj-23824	26	15	sheets	sheet	NOUN
brj-23824	26	16	of	of	ADP
brj-23824	26	17	paper	paper	NOUN
brj-23824	26	18	(	(	PUNCT
brj-23824	26	19	schlesinger	schlesinger	NOUN
brj-23824	26	20	and	and	CCONJ
brj-23824	26	21	settle	settle	VERB
brj-23824	26	22	1971	1971	NUM
brj-23824	26	23	)	)	PUNCT
brj-23824	26	24	,	,	PUNCT
brj-23824	26	25	thereby	thereby	ADV
brj-23824	26	26	necessitating	necessitate	VERB
brj-23824	26	27	large	large	ADJ
brj-23824	26	28	sample	sample	NOUN
brj-23824	26	29	sizes	size	NOUN
brj-23824	26	30	.	.	PUNCT
brj-23824	27	1	as	as	SCONJ
brj-23824	27	2	technologies	technology	NOUN
brj-23824	27	3	have	have	AUX
brj-23824	27	4	advanced	advance	VERB
brj-23824	27	5	,	,	PUNCT
brj-23824	27	6	numerous	numerous	ADJ
brj-23824	27	7	paper	paper	NOUN
brj-23824	27	8	analysis	analysis	NOUN
brj-23824	27	9	methods	method	NOUN
brj-23824	27	10	have	have	AUX
brj-23824	27	11	been	be	AUX
brj-23824	27	12	proposed	propose	VERB
brj-23824	27	13	,	,	PUNCT
brj-23824	27	14	including	include	VERB
brj-23824	27	15	x	x	NOUN
brj-23824	27	16	-	-	NOUN
brj-23824	27	17	ray	ray	NOUN
brj-23824	27	18	diffraction	diffraction	NOUN
brj-23824	27	19	(	(	PUNCT
brj-23824	27	20	foner	foner	NOUN
brj-23824	27	21	and	and	CCONJ
brj-23824	27	22	adan	adan	PROPN
brj-23824	27	23	1983	1983	NUM
brj-23824	27	24	;	;	PUNCT
brj-23824	27	25	spence	spence	NOUN
brj-23824	27	26	et	et	PROPN
brj-23824	27	27	al	al	PROPN
brj-23824	27	28	.	.	PROPN
brj-23824	27	29	2000	2000	NUM
brj-23824	27	30	;	;	PUNCT
brj-23824	27	31	bisesi	bisesi	PROPN
brj-23824	27	32	et	et	PROPN
brj-23824	27	33	al	al	PROPN
brj-23824	27	34	.	.	PROPN
brj-23824	27	35	2006	2006	NUM
brj-23824	27	36	;	;	PUNCT
brj-23824	27	37	ellen	ellen	PROPN
brj-23824	27	38	et	et	PROPN
brj-23824	27	39	al	al	PROPN
brj-23824	27	40	.	.	PROPN
brj-23824	27	41	2018	2018	NUM
brj-23824	27	42	;)	;)	PUNCT
brj-23824	27	43	,	,	PUNCT
brj-23824	27	44	elemental	elemental	ADJ
brj-23824	27	45	analysis	analysis	NOUN
brj-23824	27	46	(	(	PUNCT
brj-23824	27	47	spence	spence	NOUN
brj-23824	27	48	et	et	PROPN
brj-23824	27	49	al	al	PROPN
brj-23824	27	50	.	.	PROPN
brj-23824	27	51	2000	2000	NUM
brj-23824	27	52	;	;	PUNCT
brj-23824	27	53	spence	spence	NOUN
brj-23824	27	54	et	et	PROPN
brj-23824	27	55	al	al	PROPN
brj-23824	27	56	.	.	PROPN
brj-23824	27	57	2002	2002	NUM
brj-23824	27	58	)	)	PUNCT
brj-23824	27	59	,	,	PUNCT
brj-23824	27	60	infrared	infrared	ADJ
brj-23824	27	61	spectroscopy	spectroscopy	NOUN
brj-23824	27	62	(	(	PUNCT
brj-23824	27	63	andrasko	andrasko	ADV
brj-23824	27	64	1996	1996	NUM
brj-23824	27	65	;	;	PUNCT
brj-23824	27	66	kher	kher	PROPN
brj-23824	27	67	et	et	PROPN
brj-23824	27	68	al	al	PROPN
brj-23824	27	69	.	.	PROPN
brj-23824	27	70	2001	2001	NUM
brj-23824	27	71	;	;	PUNCT
brj-23824	27	72	kher	kher	PROPN
brj-23824	27	73	et	et	PROPN
brj-23824	27	74	al	al	PROPN
brj-23824	27	75	.	.	PROPN
brj-23824	27	76	2005	2005	NUM
brj-23824	27	77	)	)	PUNCT
brj-23824	27	78	,	,	PUNCT
brj-23824	27	79	raman	raman	NOUN
brj-23824	27	80	spectroscopy	spectroscopy	NOUN
brj-23824	27	81	(	(	PUNCT
brj-23824	27	82	kuptsov	kuptsov	NOUN
brj-23824	27	83	1994	1994	NUM
brj-23824	27	84	)	)	PUNCT
brj-23824	27	85	,	,	PUNCT
brj-23824	27	86	image	image	NOUN
brj-23824	27	87	analysis	analysis	NOUN
brj-23824	27	88	(	(	PUNCT
brj-23824	27	89	miyata	miyata	NOUN
brj-23824	27	90	et	et	PROPN
brj-23824	27	91	al	al	PROPN
brj-23824	27	92	.	.	PROPN
brj-23824	27	93	2002	2002	NUM
brj-23824	27	94	)	)	PUNCT
brj-23824	27	95	,	,	PUNCT
brj-23824	27	96	and	and	CCONJ
brj-23824	27	97	pyrolysis	pyrolysis	NOUN
brj-23824	27	98	gas	gas	NOUN
brj-23824	27	99	chromatography	chromatography	NOUN
brj-23824	27	100	(	(	PUNCT
brj-23824	27	101	ebara	ebara	PROPN
brj-23824	27	102	et	et	PROPN
brj-23824	27	103	al	al	PROPN
brj-23824	27	104	.	.	PROPN
brj-23824	27	105	1982	1982	NUM
brj-23824	27	106	)	)	PUNCT
brj-23824	27	107	.	.	PUNCT
brj-23824	28	1	in	in	ADP
brj-23824	28	2	the	the	DET
brj-23824	28	3	papermaking	papermaking	NOUN
brj-23824	28	4	process	process	NOUN
brj-23824	28	5	,	,	PUNCT
brj-23824	28	6	pulp	pulp	NOUN
brj-23824	28	7	stocks	stock	NOUN
brj-23824	28	8	are	be	AUX
brj-23824	28	9	impinged	impinge	VERB
brj-23824	28	10	onto	onto	ADP
brj-23824	28	11	forming	form	VERB
brj-23824	28	12	fabric	fabric	NOUN
brj-23824	28	13	by	by	ADP
brj-23824	28	14	a	a	DET
brj-23824	28	15	headbox	headbox	NOUN
brj-23824	28	16	slice	slice	NOUN
brj-23824	28	17	jet	jet	NOUN
brj-23824	28	18	.	.	PUNCT
brj-23824	29	1	pulp	pulp	NOUN
brj-23824	29	2	stocks	stock	NOUN
brj-23824	29	3	include	include	VERB
brj-23824	29	4	refined	refined	ADJ
brj-23824	29	5	pulp	pulp	NOUN
brj-23824	29	6	,	,	PUNCT
brj-23824	29	7	internal	internal	ADJ
brj-23824	29	8	sizing	sizing	NOUN
brj-23824	29	9	agents	agent	NOUN
brj-23824	29	10	,	,	PUNCT
brj-23824	29	11	retention	retention	NOUN
brj-23824	29	12	aids	aid	NOUN
brj-23824	29	13	,	,	PUNCT
brj-23824	29	14	fillers	filler	NOUN
brj-23824	29	15	,	,	PUNCT
brj-23824	29	16	defoamers	defoamer	NOUN
brj-23824	29	17	,	,	PUNCT
brj-23824	29	18	optical	optical	ADJ
brj-23824	29	19	brighteners	brightener	NOUN
brj-23824	29	20	,	,	PUNCT
brj-23824	29	21	and	and	CCONJ
brj-23824	29	22	dry	dry	ADJ
brj-23824	29	23	strength	strength	NOUN
brj-23824	29	24	adhesives	adhesive	NOUN
brj-23824	29	25	dissolved	dissolve	VERB
brj-23824	29	26	and	and	CCONJ
brj-23824	29	27	suspended	suspend	VERB
brj-23824	29	28	in	in	ADP
brj-23824	29	29	aqueous	aqueous	ADJ
brj-23824	29	30	solution	solution	NOUN
brj-23824	29	31	(	(	PUNCT
brj-23824	29	32	solid	solid	ADJ
brj-23824	29	33	content	content	NOUN
brj-23824	29	34	:	:	PUNCT
brj-23824	29	35	0.5	0.5	NUM
brj-23824	29	36	%	%	NOUN
brj-23824	29	37	)	)	PUNCT
brj-23824	29	38	.	.	PUNCT
brj-23824	30	1	when	when	SCONJ
brj-23824	30	2	the	the	DET
brj-23824	30	3	headbox	headbox	NOUN
brj-23824	30	4	jet	jet	NOUN
brj-23824	30	5	(	(	PUNCT
brj-23824	30	6	i.e.	i.e.	X
brj-23824	30	7	,	,	PUNCT
brj-23824	30	8	a	a	DET
brj-23824	30	9	fiber	fiber	NOUN
brj-23824	30	10	suspension	suspension	NOUN
brj-23824	30	11	)	)	PUNCT
brj-23824	30	12	impinges	impinge	VERB
brj-23824	30	13	to	to	PART
brj-23824	30	14	drain	drain	VERB
brj-23824	30	15	the	the	DET
brj-23824	30	16	stock	stock	NOUN
brj-23824	30	17	and	and	CCONJ
brj-23824	30	18	form	form	VERB
brj-23824	30	19	a	a	DET
brj-23824	30	20	fibrous	fibrous	ADJ
brj-23824	30	21	web	web	NOUN
brj-23824	30	22	on	on	ADP
brj-23824	30	23	the	the	DET
brj-23824	30	24	forming	form	VERB
brj-23824	30	25	surface	surface	NOUN
brj-23824	30	26	,	,	PUNCT
brj-23824	30	27	an	an	DET
brj-23824	30	28	impression	impression	NOUN
brj-23824	30	29	,	,	PUNCT
brj-23824	30	30	i.e.	i.e.	X
brj-23824	30	31	,	,	PUNCT
brj-23824	30	32	a	a	DET
brj-23824	30	33	weave	weave	NOUN
brj-23824	30	34	mark	mark	NOUN
brj-23824	30	35	or	or	CCONJ
brj-23824	30	36	wire	wire	NOUN
brj-23824	30	37	mark	mark	NOUN
brj-23824	30	38	,	,	PUNCT
brj-23824	30	39	is	be	AUX
brj-23824	30	40	left	leave	VERB
brj-23824	30	41	on	on	ADP
brj-23824	30	42	the	the	DET
brj-23824	30	43	sheet	sheet	NOUN
brj-23824	30	44	of	of	ADP
brj-23824	30	45	paper	paper	NOUN
brj-23824	30	46	by	by	ADP
brj-23824	30	47	the	the	DET
brj-23824	30	48	mesh	mesh	NOUN
brj-23824	30	49	of	of	ADP
brj-23824	30	50	the	the	DET
brj-23824	30	51	forming	form	VERB
brj-23824	30	52	fabric	fabric	NOUN
brj-23824	30	53	.	.	PUNCT
brj-23824	31	1	drainage	drainage	NOUN
brj-23824	31	2	marks	mark	NOUN
brj-23824	31	3	occur	occur	VERB
brj-23824	31	4	when	when	SCONJ
brj-23824	31	5	the	the	DET
brj-23824	31	6	water	water	NOUN
brj-23824	31	7	drains	drain	VERB
brj-23824	31	8	,	,	PUNCT
brj-23824	31	9	which	which	PRON
brj-23824	31	10	leaves	leave	VERB
brj-23824	31	11	fibers	fiber	NOUN
brj-23824	31	12	on	on	ADP
brj-23824	31	13	the	the	DET
brj-23824	31	14	forming	form	VERB
brj-23824	31	15	fabric	fabric	NOUN
brj-23824	31	16	.	.	PUNCT
brj-23824	32	1	thus	thus	ADV
brj-23824	32	2	,	,	PUNCT
brj-23824	32	3	these	these	DET
brj-23824	32	4	weave	weave	NOUN
brj-23824	32	5	marks	mark	NOUN
brj-23824	32	6	or	or	CCONJ
brj-23824	32	7	drainage	drainage	NOUN
brj-23824	32	8	marks	mark	NOUN
brj-23824	32	9	exhibit	exhibit	VERB
brj-23824	32	10	unique	unique	ADJ
brj-23824	32	11	characteristics	characteristic	NOUN
brj-23824	32	12	(	(	PUNCT
brj-23824	32	13	similar	similar	ADJ
brj-23824	32	14	to	to	ADP
brj-23824	32	15	human	human	ADJ
brj-23824	32	16	fingerprints	fingerprint	NOUN
brj-23824	32	17	)	)	PUNCT
brj-23824	32	18	,	,	PUNCT
brj-23824	32	19	depending	depend	VERB
brj-23824	32	20	on	on	ADP
brj-23824	32	21	the	the	DET
brj-23824	32	22	brand	brand	NOUN
brj-23824	32	23	of	of	ADP
brj-23824	32	24	the	the	DET
brj-23824	32	25	forming	form	VERB
brj-23824	32	26	fabric	fabric	NOUN
brj-23824	32	27	or	or	CCONJ
brj-23824	32	28	changes	change	NOUN
brj-23824	32	29	in	in	ADP
brj-23824	32	30	the	the	DET
brj-23824	32	31	wetend	wetend	ADJ
brj-23824	32	32	process	process	NOUN
brj-23824	32	33	.	.	PUNCT
brj-23824	33	1	these	these	DET
brj-23824	33	2	specific	specific	ADJ
brj-23824	33	3	features	feature	NOUN
brj-23824	33	4	can	can	AUX
brj-23824	33	5	be	be	AUX
brj-23824	33	6	utilized	utilize	VERB
brj-23824	33	7	as	as	ADP
brj-23824	33	8	forensic	forensic	ADJ
brj-23824	33	9	evidence	evidence	NOUN
brj-23824	33	10	for	for	ADP
brj-23824	33	11	document	document	NOUN
brj-23824	33	12	examination	examination	NOUN
brj-23824	33	13	.	.	PUNCT
brj-23824	34	1	for	for	ADP
brj-23824	34	2	example	example	NOUN
brj-23824	34	3	,	,	PUNCT
brj-23824	34	4	lee	lee	PROPN
brj-23824	34	5	et	et	PROPN
brj-23824	34	6	al	al	PROPN
brj-23824	34	7	.	.	PROPN
brj-23824	34	8	(	(	PUNCT
brj-23824	34	9	2023	2023	NUM
brj-23824	34	10	)	)	PUNCT
brj-23824	34	11	investigated	investigate	VERB
brj-23824	34	12	the	the	DET
brj-23824	34	13	potential	potential	NOUN
brj-23824	34	14	of	of	ADP
brj-23824	34	15	forensic	forensic	ADJ
brj-23824	34	16	feature	feature	NOUN
brj-23824	34	17	extraction	extraction	NOUN
brj-23824	34	18	from	from	ADP
brj-23824	34	19	forming	form	VERB
brj-23824	34	20	fabric	fabric	NOUN
brj-23824	34	21	marks	mark	NOUN
brj-23824	34	22	and	and	CCONJ
brj-23824	34	23	formation	formation	NOUN
brj-23824	34	24	using	use	VERB
brj-23824	34	25	video	video	NOUN
brj-23824	34	26	spectral	spectral	ADJ
brj-23824	34	27	comparator	comparator	NOUN
brj-23824	34	28	(	(	PUNCT
brj-23824	34	29	vsc	vsc	PROPN
brj-23824	34	30	)	)	PUNCT
brj-23824	34	31	images	image	NOUN
brj-23824	34	32	.	.	PUNCT
brj-23824	35	1	to	to	PART
brj-23824	35	2	identify	identify	VERB
brj-23824	35	3	vsc	vsc	NOUN
brj-23824	35	4	images	image	NOUN
brj-23824	35	5	based	base	VERB
brj-23824	35	6	on	on	ADP
brj-23824	35	7	paper	paper	NOUN
brj-23824	35	8	document	document	NOUN
brj-23824	35	9	products	product	NOUN
brj-23824	35	10	,	,	PUNCT
brj-23824	35	11	texture	texture	NOUN
brj-23824	35	12	features	feature	NOUN
brj-23824	35	13	extracted	extract	VERB
brj-23824	35	14	from	from	ADP
brj-23824	35	15	images	image	NOUN
brj-23824	35	16	were	be	AUX
brj-23824	35	17	converted	convert	VERB
brj-23824	35	18	using	use	VERB
brj-23824	35	19	gray	gray	ADJ
brj-23824	35	20	-	-	PUNCT
brj-23824	35	21	level	level	NOUN
brj-23824	35	22	co	co	NOUN
brj-23824	35	23	-	-	NOUN
brj-23824	35	24	occurrence	occurrence	ADJ
brj-23824	35	25	matrix	matrix	NOUN
brj-23824	35	26	methods	method	NOUN
brj-23824	35	27	,	,	PUNCT
brj-23824	35	28	and	and	CCONJ
brj-23824	35	29	a	a	DET
brj-23824	35	30	convolutional	convolutional	ADJ
brj-23824	35	31	neural	neural	ADJ
brj-23824	35	32	network	network	NOUN
brj-23824	35	33	model	model	NOUN
brj-23824	35	34	was	be	AUX
brj-23824	35	35	tested	test	VERB
brj-23824	35	36	.	.	PUNCT
brj-23824	36	1	this	this	DET
brj-23824	36	2	method	method	NOUN
brj-23824	36	3	was	be	AUX
brj-23824	36	4	used	use	VERB
brj-23824	36	5	to	to	PART
brj-23824	36	6	classify	classify	VERB
brj-23824	36	7	seven	seven	NUM
brj-23824	36	8	major	major	ADJ
brj-23824	36	9	paper	paper	NOUN
brj-23824	36	10	brands	brand	NOUN
brj-23824	36	11	in	in	ADP
brj-23824	36	12	the	the	DET
brj-23824	36	13	korean	korean	ADJ
brj-23824	36	14	market	market	NOUN
brj-23824	36	15	,	,	PUNCT
brj-23824	36	16	and	and	CCONJ
brj-23824	36	17	it	it	PRON
brj-23824	36	18	achieved	achieve	VERB
brj-23824	36	19	an	an	DET
brj-23824	36	20	accuracy	accuracy	NOUN
brj-23824	36	21	of	of	ADP
brj-23824	36	22	97.66	97.66	NUM
brj-23824	36	23	%	%	NOUN
brj-23824	36	24	.	.	PUNCT
brj-23824	37	1	in	in	ADP
brj-23824	37	2	addition	addition	NOUN
brj-23824	37	3	,	,	PUNCT
brj-23824	37	4	berger	berger	PROPN
brj-23824	37	5	(	(	PUNCT
brj-23824	37	6	2009	2009	NUM
brj-23824	37	7	)	)	PUNCT
brj-23824	37	8	developed	develop	VERB
brj-23824	37	9	a	a	DET
brj-23824	37	10	method	method	NOUN
brj-23824	37	11	to	to	PART
brj-23824	37	12	identify	identify	VERB
brj-23824	37	13	document	document	NOUN
brj-23824	37	14	paper	paper	NOUN
brj-23824	37	15	using	use	VERB
brj-23824	37	16	light	light	ADJ
brj-23824	37	17	transmission	transmission	NOUN
brj-23824	37	18	images	image	NOUN
brj-23824	37	19	and	and	CCONJ
brj-23824	37	20	frequency	frequency	NOUN
brj-23824	37	21	analysis	analysis	NOUN
brj-23824	37	22	.	.	PUNCT
brj-23824	38	1	a	a	DET
brj-23824	38	2	technical	technical	ADJ
brj-23824	38	3	validation	validation	NOUN
brj-23824	38	4	was	be	AUX
brj-23824	38	5	carried	carry	VERB
brj-23824	38	6	out	out	ADP
brj-23824	38	7	with	with	ADP
brj-23824	38	8	25	25	NUM
brj-23824	38	9	different	different	ADJ
brj-23824	38	10	papers	paper	NOUN
brj-23824	38	11	,	,	PUNCT
brj-23824	38	12	showing	show	VERB
brj-23824	38	13	the	the	DET
brj-23824	38	14	potential	potential	NOUN
brj-23824	38	15	of	of	ADP
brj-23824	38	16	this	this	DET
brj-23824	38	17	method	method	NOUN
brj-23824	38	18	with	with	ADP
brj-23824	38	19	common	common	ADJ
brj-23824	38	20	copy	copy	NOUN
brj-23824	38	21	papers	paper	NOUN
brj-23824	38	22	.	.	PUNCT
brj-23824	39	1	this	this	DET
brj-23824	39	2	comprehensive	comprehensive	ADJ
brj-23824	39	3	analysis	analysis	NOUN
brj-23824	39	4	demonstrates	demonstrate	VERB
brj-23824	39	5	that	that	SCONJ
brj-23824	39	6	these	these	DET
brj-23824	39	7	specific	specific	ADJ
brj-23824	39	8	features	feature	NOUN
brj-23824	39	9	can	can	AUX
brj-23824	39	10	be	be	AUX
brj-23824	39	11	utilized	utilize	VERB
brj-23824	39	12	effectively	effectively	ADV
brj-23824	39	13	as	as	ADP
brj-23824	39	14	forensic	forensic	ADJ
brj-23824	39	15	evidence	evidence	NOUN
brj-23824	39	16	for	for	ADP
brj-23824	39	17	questioned	question	VERB
brj-23824	39	18	document	document	NOUN
brj-23824	39	19	examination	examination	NOUN
brj-23824	39	20	.	.	PUNCT
brj-23824	40	1	however	however	ADV
brj-23824	40	2	,	,	PUNCT
brj-23824	40	3	such	such	ADJ
brj-23824	40	4	analyses	analysis	NOUN
brj-23824	40	5	require	require	VERB
brj-23824	40	6	a	a	DET
brj-23824	40	7	sufficient	sufficient	ADJ
brj-23824	40	8	database	database	NOUN
brj-23824	40	9	for	for	ADP
brj-23824	40	10	comparison	comparison	NOUN
brj-23824	40	11	.	.	PUNCT
brj-23824	41	1	in	in	ADP
brj-23824	41	2	this	this	DET
brj-23824	41	3	study	study	NOUN
brj-23824	41	4	,	,	PUNCT
brj-23824	41	5	weave	weave	NOUN
brj-23824	41	6	marks	mark	NOUN
brj-23824	41	7	and	and	CCONJ
brj-23824	41	8	drainage	drainage	NOUN
brj-23824	41	9	marks	mark	NOUN
brj-23824	41	10	were	be	AUX
brj-23824	41	11	investigated	investigate	VERB
brj-23824	41	12	for	for	ADP
brj-23824	41	13	forensic	forensic	ADJ
brj-23824	41	14	purposes	purpose	NOUN
brj-23824	41	15	.	.	PUNCT
brj-23824	42	1	a	a	DET
brj-23824	42	2	literature	literature	NOUN
brj-23824	42	3	review	review	NOUN
brj-23824	42	4	confirmed	confirm	VERB
brj-23824	42	5	that	that	SCONJ
brj-23824	42	6	it	it	PRON
brj-23824	42	7	is	be	AUX
brj-23824	42	8	possible	possible	ADJ
brj-23824	42	9	to	to	PART
brj-23824	42	10	identify	identify	VERB
brj-23824	42	11	document	document	NOUN
brj-23824	42	12	paper	paper	NOUN
brj-23824	42	13	based	base	VERB
brj-23824	42	14	on	on	ADP
brj-23824	42	15	the	the	DET
brj-23824	42	16	manufacturer	manufacturer	NOUN
brj-23824	42	17	;	;	PUNCT
brj-23824	42	18	however	however	ADV
brj-23824	42	19	,	,	PUNCT
brj-23824	42	20	the	the	DET
brj-23824	42	21	potential	potential	NOUN
brj-23824	42	22	for	for	ADP
brj-23824	42	23	document	document	NOUN
brj-23824	42	24	dating	dating	NOUN
brj-23824	42	25	has	have	AUX
brj-23824	42	26	not	not	PART
brj-23824	42	27	been	be	AUX
brj-23824	42	28	investigated	investigate	VERB
brj-23824	42	29	extensively	extensively	ADV
brj-23824	42	30	.	.	PUNCT
brj-23824	43	1	in	in	ADP
brj-23824	43	2	addition	addition	NOUN
brj-23824	43	3	,	,	PUNCT
brj-23824	43	4	for	for	ADP
brj-23824	43	5	comprehensive	comprehensive	ADJ
brj-23824	43	6	forensic	forensic	ADJ
brj-23824	43	7	examination	examination	NOUN
brj-23824	43	8	of	of	ADP
brj-23824	43	9	document	document	NOUN
brj-23824	43	10	paper	paper	NOUN
brj-23824	43	11	,	,	PUNCT
brj-23824	43	12	a	a	DET
brj-23824	43	13	large	large	ADJ
brj-23824	43	14	database	database	NOUN
brj-23824	43	15	is	be	AUX
brj-23824	43	16	required	require	VERB
brj-23824	43	17	to	to	PART
brj-23824	43	18	perform	perform	VERB
brj-23824	43	19	comparative	comparative	ADJ
brj-23824	43	20	analyses	analysis	NOUN
brj-23824	43	21	.	.	PUNCT
brj-23824	44	1	machine	machine	NOUN
brj-23824	44	2	learning	learning	NOUN
brj-23824	44	3	models	model	NOUN
brj-23824	44	4	for	for	ADP
brj-23824	44	5	forensic	forensic	ADJ
brj-23824	44	6	document	document	NOUN
brj-23824	44	7	examination	examination	NOUN
brj-23824	44	8	have	have	AUX
brj-23824	44	9	been	be	AUX
brj-23824	44	10	developed	develop	VERB
brj-23824	44	11	and	and	CCONJ
brj-23824	44	12	evaluated	evaluate	VERB
brj-23824	44	13	.	.	PUNCT
brj-23824	45	1	this	this	DET
brj-23824	45	2	paper	paper	NOUN
brj-23824	45	3	presents	present	VERB
brj-23824	45	4	the	the	DET
brj-23824	45	5	results	result	NOUN
brj-23824	45	6	of	of	ADP
brj-23824	45	7	a	a	DET
brj-23824	45	8	machine	machine	NOUN
brj-23824	45	9	learning	learning	NOUN
brj-23824	45	10	–	–	PUNCT
brj-23824	45	11	based	base	VERB
brj-23824	45	12	forensic	forensic	ADJ
brj-23824	45	13	identification	identification	NOUN
brj-23824	45	14	method	method	NOUN
brj-23824	45	15	for	for	ADP
brj-23824	45	16	document	document	NOUN
brj-23824	45	17	dating	date	VERB
brj-23824	45	18	using	use	VERB
brj-23824	45	19	paper	paper	NOUN
brj-23824	45	20	fingerprints	fingerprint	NOUN
brj-23824	45	21	.	.	PUNCT
brj-23824	46	1	peer	peer	NOUN
brj-23824	46	2	-	-	PUNCT
brj-23824	46	3	reviewed	review	VERB
brj-23824	46	4	article__________________bioresources.cnr.ncsu.edu	article__________________bioresources.cnr.ncsu.edu	NOUN
brj-23824	46	5	lee	lee	PROPN
brj-23824	46	6	et	et	PROPN
brj-23824	46	7	al	al	PROPN
brj-23824	46	8	.	.	PROPN
brj-23824	46	9	(	(	PUNCT
brj-23824	46	10	2024	2024	NUM
brj-23824	46	11	)	)	PUNCT
brj-23824	46	12	.	.	PUNCT
brj-23824	47	1	“	"	PUNCT
brj-23824	47	2	wire	wire	NOUN
brj-23824	47	3	mark	mark	NOUN
brj-23824	47	4	as	as	ADP
brj-23824	47	5	forensic	forensic	ADJ
brj-23824	47	6	evidence	evidence	NOUN
brj-23824	47	7	,	,	PUNCT
brj-23824	47	8	”	"	PUNCT
brj-23824	47	9	bioresources	bioresource	NOUN
brj-23824	47	10	19(4	19(4	NUM
brj-23824	47	11	)	)	PUNCT
brj-23824	47	12	,	,	PUNCT
brj-23824	47	13	7591	7591	NUM
brj-23824	47	14	-	-	SYM
brj-23824	47	15	7605	7605	NUM
brj-23824	47	16	.	.	PUNCT
brj-23824	48	1	7593	7593	NUM
brj-23824	48	2	experimental	experimental	ADJ
brj-23824	48	3	materials	material	NOUN
brj-23824	48	4	information	information	NOUN
brj-23824	48	5	about	about	ADP
brj-23824	48	6	the	the	DET
brj-23824	48	7	copy	copy	NOUN
brj-23824	48	8	paper	paper	NOUN
brj-23824	48	9	utilized	utilize	VERB
brj-23824	48	10	in	in	ADP
brj-23824	48	11	this	this	DET
brj-23824	48	12	study	study	NOUN
brj-23824	48	13	is	be	AUX
brj-23824	48	14	shown	show	VERB
brj-23824	48	15	in	in	ADP
brj-23824	48	16	table	table	NOUN
brj-23824	48	17	1	1	NUM
brj-23824	48	18	.	.	PUNCT
brj-23824	49	1	to	to	ADP
brj-23824	49	2	date	date	NOUN
brj-23824	49	3	document	document	NOUN
brj-23824	49	4	paper	paper	NOUN
brj-23824	49	5	,	,	PUNCT
brj-23824	49	6	a	a	DET
brj-23824	49	7	total	total	NOUN
brj-23824	49	8	of	of	ADP
brj-23824	49	9	11	11	NUM
brj-23824	49	10	products	product	NOUN
brj-23824	49	11	with	with	ADP
brj-23824	49	12	different	different	ADJ
brj-23824	49	13	production	production	NOUN
brj-23824	49	14	dates	date	NOUN
brj-23824	49	15	were	be	AUX
brj-23824	49	16	collected	collect	VERB
brj-23824	49	17	from	from	ADP
brj-23824	49	18	the	the	DET
brj-23824	49	19	same	same	ADJ
brj-23824	49	20	manufacturer	manufacturer	NOUN
brj-23824	49	21	.	.	PUNCT
brj-23824	50	1	table	table	NOUN
brj-23824	50	2	1	1	NUM
brj-23824	50	3	.	.	PUNCT
brj-23824	51	1	information	information	NOUN
brj-23824	51	2	about	about	ADP
brj-23824	51	3	the	the	DET
brj-23824	51	4	copy	copy	NOUN
brj-23824	51	5	paper	paper	NOUN
brj-23824	51	6	with	with	ADP
brj-23824	51	7	different	different	ADJ
brj-23824	51	8	production	production	NOUN
brj-23824	51	9	dates	date	VERB
brj-23824	51	10	no	no	PRON
brj-23824	51	11	.	.	PUNCT
brj-23824	52	1	product	product	NOUN
brj-23824	52	2	code	code	NOUN
brj-23824	52	3	manufacture	manufacture	NOUN
brj-23824	52	4	date	date	NOUN
brj-23824	52	5	(	(	PUNCT
brj-23824	52	6	mm.yy	mm.yy	ADJ
brj-23824	52	7	)	)	PUNCT
brj-23824	52	8	grammage	grammage	NOUN
brj-23824	52	9	(	(	PUNCT
brj-23824	52	10	g	g	NOUN
brj-23824	52	11	/	/	SYM
brj-23824	52	12	m2	m2	PROPN
brj-23824	52	13	)	)	PUNCT
brj-23824	52	14	1	1	NUM
brj-23824	52	15	“	"	PUNCT
brj-23824	52	16	m	m	NOUN
brj-23824	52	17	”	"	PUNCT
brj-23824	52	18	products	product	NOUN
brj-23824	52	19	from	from	ADP
brj-23824	52	20	a	a	DET
brj-23824	52	21	paper	paper	NOUN
brj-23824	52	22	company	company	NOUN
brj-23824	52	23	m201311	m201311	NOUN
brj-23824	52	24	11.2013	11.2013	NUM
brj-23824	52	25	80	80	NUM
brj-23824	52	26	2	2	NUM
brj-23824	52	27	m201511	m201511	NOUN
brj-23824	52	28	11.2015	11.2015	NUM
brj-23824	52	29	3	3	NUM
brj-23824	52	30	m201701	m201701	ADJ
brj-23824	52	31	01.2017	01.2017	NUM
brj-23824	52	32	4	4	NUM
brj-23824	52	33	m201707	m201707	NOUN
brj-23824	52	34	07.2017	07.2017	NUM
brj-23824	52	35	5	5	NUM
brj-23824	52	36	m201806	m201806	NOUN
brj-23824	52	37	06.2018	06.2018	NUM
brj-23824	52	38	6	6	NUM
brj-23824	52	39	m201907	m201907	PROPN
brj-23824	52	40	07.2019	07.2019	NUM
brj-23824	52	41	7	7	NUM
brj-23824	52	42	m202008	m202008	NOUN
brj-23824	52	43	08.2020	08.2020	NOUN
brj-23824	52	44	8	8	NUM
brj-23824	52	45	m202105	m202105	NOUN
brj-23824	52	46	05.2021	05.2021	NUM
brj-23824	52	47	9	9	NUM
brj-23824	52	48	m202206	m202206	NOUN
brj-23824	52	49	06.2022	06.2022	NOUN
brj-23824	52	50	10	10	NUM
brj-23824	52	51	m202305	m202305	NOUN
brj-23824	52	52	05.2023	05.2023	NUM
brj-23824	52	53	11	11	NUM
brj-23824	52	54	m202404	m202404	NOUN
brj-23824	52	55	04.2024	04.2024	NUM
brj-23824	52	56	dataset	dataset	NOUN
brj-23824	52	57	data	datum	NOUN
brj-23824	52	58	formatting	format	VERB
brj-23824	52	59	a	a	DET
brj-23824	52	60	2d	2d	NUM
brj-23824	52	61	-	-	PUNCT
brj-23824	52	62	f	f	NOUN
brj-23824	52	63	sensor	sensor	NOUN
brj-23824	52	64	(	(	PUNCT
brj-23824	52	65	techpap	techpap	PROPN
brj-23824	52	66	,	,	PUNCT
brj-23824	52	67	france	france	PROPN
brj-23824	52	68	)	)	PUNCT
brj-23824	52	69	was	be	AUX
brj-23824	52	70	used	use	VERB
brj-23824	52	71	to	to	PART
brj-23824	52	72	scan	scan	VERB
brj-23824	52	73	both	both	DET
brj-23824	52	74	sides	side	NOUN
brj-23824	52	75	of	of	ADP
brj-23824	52	76	each	each	DET
brj-23824	52	77	piece	piece	NOUN
brj-23824	52	78	of	of	ADP
brj-23824	52	79	copy	copy	NOUN
brj-23824	52	80	paper	paper	NOUN
brj-23824	52	81	.	.	PUNCT
brj-23824	53	1	this	this	DET
brj-23824	53	2	data	data	NOUN
brj-23824	53	3	collection	collection	NOUN
brj-23824	53	4	process	process	NOUN
brj-23824	53	5	was	be	AUX
brj-23824	53	6	repeated	repeat	VERB
brj-23824	53	7	to	to	PART
brj-23824	53	8	obtain	obtain	VERB
brj-23824	53	9	50	50	NUM
brj-23824	53	10	or	or	CCONJ
brj-23824	53	11	100	100	NUM
brj-23824	53	12	samples	sample	NOUN
brj-23824	53	13	.	.	PUNCT
brj-23824	54	1	the	the	DET
brj-23824	54	2	dataset	dataset	NOUN
brj-23824	54	3	is	be	AUX
brj-23824	54	4	described	describe	VERB
brj-23824	54	5	in	in	ADP
brj-23824	54	6	table	table	NOUN
brj-23824	54	7	2	2	NUM
brj-23824	54	8	.	.	PUNCT
brj-23824	55	1	the	the	DET
brj-23824	55	2	2d	2d	PROPN
brj-23824	55	3	-	-	PUNCT
brj-23824	55	4	f	f	NOUN
brj-23824	55	5	sensor	sensor	NOUN
brj-23824	55	6	generates	generate	VERB
brj-23824	55	7	digital	digital	ADJ
brj-23824	55	8	look	look	NOUN
brj-23824	55	9	-	-	PUNCT
brj-23824	55	10	through	through	ADP
brj-23824	55	11	images	image	NOUN
brj-23824	55	12	automatically	automatically	ADV
brj-23824	55	13	,	,	PUNCT
brj-23824	55	14	which	which	PRON
brj-23824	55	15	are	be	AUX
brj-23824	55	16	then	then	ADV
brj-23824	55	17	analyzed	analyze	VERB
brj-23824	55	18	using	use	VERB
brj-23824	55	19	a	a	DET
brj-23824	55	20	fast	fast	ADJ
brj-23824	55	21	fourier	fourier	NOUN
brj-23824	55	22	transform	transform	NOUN
brj-23824	55	23	algorithm	algorithm	NOUN
brj-23824	55	24	to	to	PART
brj-23824	55	25	examine	examine	VERB
brj-23824	55	26	three	three	NUM
brj-23824	55	27	distinct	distinct	ADJ
brj-23824	55	28	factors	factor	NOUN
brj-23824	55	29	in	in	ADP
brj-23824	55	30	the	the	DET
brj-23824	55	31	image	image	NOUN
brj-23824	55	32	,	,	PUNCT
brj-23824	55	33	i.e.	i.e.	X
brj-23824	55	34	,	,	PUNCT
brj-23824	55	35	intensity	intensity	NOUN
brj-23824	55	36	,	,	PUNCT
brj-23824	55	37	angle	angle	NOUN
brj-23824	55	38	,	,	PUNCT
brj-23824	55	39	and	and	CCONJ
brj-23824	55	40	step	step	NOUN
brj-23824	55	41	.	.	PUNCT
brj-23824	56	1	figure	figure	NOUN
brj-23824	56	2	1	1	NUM
brj-23824	56	3	shows	show	VERB
brj-23824	56	4	the	the	DET
brj-23824	56	5	process	process	NOUN
brj-23824	56	6	used	use	VERB
brj-23824	56	7	to	to	PART
brj-23824	56	8	calculate	calculate	VERB
brj-23824	56	9	the	the	DET
brj-23824	56	10	intensity	intensity	NOUN
brj-23824	56	11	,	,	PUNCT
brj-23824	56	12	angle	angle	NOUN
brj-23824	56	13	,	,	PUNCT
brj-23824	56	14	and	and	CCONJ
brj-23824	56	15	step	step	NOUN
brj-23824	56	16	data	datum	NOUN
brj-23824	56	17	from	from	ADP
brj-23824	56	18	the	the	DET
brj-23824	56	19	obtained	obtain	VERB
brj-23824	56	20	look	look	NOUN
brj-23824	56	21	-	-	PUNCT
brj-23824	56	22	through	through	ADP
brj-23824	56	23	images	image	NOUN
brj-23824	56	24	.	.	PUNCT
brj-23824	57	1	note	note	VERB
brj-23824	57	2	that	that	SCONJ
brj-23824	57	3	the	the	DET
brj-23824	57	4	angle	angle	NOUN
brj-23824	57	5	and	and	CCONJ
brj-23824	57	6	step	step	NOUN
brj-23824	57	7	data	datum	NOUN
brj-23824	57	8	of	of	ADP
brj-23824	57	9	the	the	DET
brj-23824	57	10	periodic	periodic	ADJ
brj-23824	57	11	marks	mark	NOUN
brj-23824	57	12	were	be	AUX
brj-23824	57	13	measured	measure	VERB
brj-23824	57	14	at	at	ADP
brj-23824	57	15	the	the	DET
brj-23824	57	16	10	10	NUM
brj-23824	57	17	highest	high	ADJ
brj-23824	57	18	intensities	intensity	NOUN
brj-23824	57	19	,	,	PUNCT
brj-23824	57	20	resulting	result	VERB
brj-23824	57	21	in	in	ADP
brj-23824	57	22	30	30	NUM
brj-23824	57	23	arrays	array	NOUN
brj-23824	57	24	in	in	ADP
brj-23824	57	25	each	each	DET
brj-23824	57	26	measurement	measurement	NOUN
brj-23824	57	27	.	.	PUNCT
brj-23824	58	1	table	table	NOUN
brj-23824	58	2	2	2	NUM
brj-23824	58	3	.	.	X
brj-23824	58	4	number	number	NOUN
brj-23824	58	5	of	of	ADP
brj-23824	58	6	papers	paper	NOUN
brj-23824	58	7	analyzed	analyze	VERB
brj-23824	58	8	for	for	ADP
brj-23824	58	9	dataset	dataset	ADJ
brj-23824	58	10	construction	construction	NOUN
brj-23824	58	11	no	no	PROPN
brj-23824	58	12	.	.	PUNCT
brj-23824	58	13	code	code	NOUN
brj-23824	58	14	number	number	NOUN
brj-23824	58	15	of	of	ADP
brj-23824	58	16	measured	measure	VERB
brj-23824	58	17	top	top	ADJ
brj-23824	58	18	side	side	NOUN
brj-23824	58	19	bottom	bottom	ADJ
brj-23824	58	20	side	side	NOUN
brj-23824	58	21	1	1	NUM
brj-23824	58	22	m201311	m201311	NOUN
brj-23824	58	23	100	100	NUM
brj-23824	58	24	100	100	NUM
brj-23824	58	25	2	2	NUM
brj-23824	58	26	m201511	m201511	NOUN
brj-23824	58	27	100	100	NUM
brj-23824	58	28	100	100	NUM
brj-23824	58	29	3	3	NUM
brj-23824	58	30	m201701	m201701	ADJ
brj-23824	58	31	100	100	NUM
brj-23824	58	32	100	100	NUM
brj-23824	58	33	4	4	NUM
brj-23824	58	34	m201707	m201707	NOUN
brj-23824	58	35	100	100	NUM
brj-23824	58	36	100	100	NUM
brj-23824	58	37	5	5	NUM
brj-23824	58	38	m201806	m201806	NOUN
brj-23824	58	39	100	100	NUM
brj-23824	58	40	100	100	NUM
brj-23824	58	41	6	6	NUM
brj-23824	58	42	m201907	m201907	PROPN
brj-23824	58	43	100	100	NUM
brj-23824	58	44	100	100	NUM
brj-23824	58	45	7	7	NUM
brj-23824	58	46	m202008	m202008	NOUN
brj-23824	58	47	100	100	NUM
brj-23824	58	48	100	100	NUM
brj-23824	58	49	8	8	NUM
brj-23824	58	50	m202105	m202105	NOUN
brj-23824	58	51	50	50	NUM
brj-23824	58	52	50	50	NUM
brj-23824	58	53	9	9	NUM
brj-23824	58	54	m202206	m202206	NOUN
brj-23824	58	55	50	50	NUM
brj-23824	58	56	50	50	NUM
brj-23824	58	57	10	10	NUM
brj-23824	58	58	m202305	m202305	NOUN
brj-23824	58	59	50	50	NUM
brj-23824	58	60	50	50	NUM
brj-23824	58	61	11	11	NUM
brj-23824	58	62	m202404	m202404	NOUN
brj-23824	58	63	50	50	NUM
brj-23824	58	64	50	50	NUM
brj-23824	58	65	the	the	DET
brj-23824	58	66	data	datum	NOUN
brj-23824	58	67	scanned	scan	VERB
brj-23824	58	68	from	from	ADP
brj-23824	58	69	each	each	DET
brj-23824	58	70	side	side	NOUN
brj-23824	58	71	of	of	ADP
brj-23824	58	72	the	the	DET
brj-23824	58	73	paper	paper	NOUN
brj-23824	58	74	were	be	AUX
brj-23824	58	75	rendered	render	VERB
brj-23824	58	76	as	as	ADP
brj-23824	58	77	a	a	DET
brj-23824	58	78	100	100	NUM
brj-23824	58	79	×	×	NOUN
brj-23824	58	80	30	30	NUM
brj-23824	58	81	or	or	CCONJ
brj-23824	58	82	50	50	NUM
brj-23824	58	83	×	×	NOUN
brj-23824	58	84	30	30	NUM
brj-23824	58	85	matrix	matrix	NOUN
brj-23824	58	86	.	.	PUNCT
brj-23824	59	1	in	in	ADP
brj-23824	59	2	this	this	DET
brj-23824	59	3	study	study	NOUN
brj-23824	59	4	,	,	PUNCT
brj-23824	59	5	the	the	DET
brj-23824	59	6	sides	side	NOUN
brj-23824	59	7	of	of	ADP
brj-23824	59	8	the	the	DET
brj-23824	59	9	paper	paper	NOUN
brj-23824	59	10	are	be	AUX
brj-23824	59	11	referred	refer	VERB
brj-23824	59	12	to	to	ADP
brj-23824	59	13	as	as	ADP
brj-23824	59	14	“	"	PUNCT
brj-23824	59	15	top	top	ADJ
brj-23824	59	16	”	"	PUNCT
brj-23824	59	17	and	and	CCONJ
brj-23824	59	18	“	"	PUNCT
brj-23824	59	19	bottom	bottom	NOUN
brj-23824	59	20	”	"	PUNCT
brj-23824	59	21	to	to	PART
brj-23824	59	22	avoid	avoid	VERB
brj-23824	59	23	assumptions	assumption	NOUN
brj-23824	59	24	about	about	ADP
brj-23824	59	25	which	which	DET
brj-23824	59	26	side	side	NOUN
brj-23824	59	27	corresponds	correspond	VERB
brj-23824	59	28	to	to	ADP
brj-23824	59	29	the	the	DET
brj-23824	59	30	wire	wire	NOUN
brj-23824	59	31	side	side	NOUN
brj-23824	59	32	or	or	CCONJ
brj-23824	59	33	the	the	DET
brj-23824	59	34	felt	feel	VERB
brj-23824	59	35	side	side	NOUN
brj-23824	59	36	,	,	PUNCT
brj-23824	59	37	as	as	ADP
brj-23824	59	38	peer	peer	NOUN
brj-23824	59	39	-	-	PUNCT
brj-23824	59	40	reviewed	review	VERB
brj-23824	59	41	article__________________bioresources.cnr.ncsu.edu	article__________________bioresources.cnr.ncsu.edu	NOUN
brj-23824	59	42	lee	lee	PROPN
brj-23824	59	43	et	et	PROPN
brj-23824	59	44	al	al	PROPN
brj-23824	59	45	.	.	PROPN
brj-23824	60	1	(	(	PUNCT
brj-23824	60	2	2024	2024	NUM
brj-23824	60	3	)	)	PUNCT
brj-23824	60	4	.	.	PUNCT
brj-23824	61	1	“	"	PUNCT
brj-23824	61	2	wire	wire	NOUN
brj-23824	61	3	mark	mark	NOUN
brj-23824	61	4	as	as	ADP
brj-23824	61	5	forensic	forensic	ADJ
brj-23824	61	6	evidence	evidence	NOUN
brj-23824	61	7	,	,	PUNCT
brj-23824	61	8	”	"	PUNCT
brj-23824	61	9	bioresources	bioresource	NOUN
brj-23824	61	10	19(4	19(4	NUM
brj-23824	61	11	)	)	PUNCT
brj-23824	61	12	,	,	PUNCT
brj-23824	61	13	7591	7591	NUM
brj-23824	61	14	-	-	SYM
brj-23824	61	15	7605	7605	NUM
brj-23824	61	16	.	.	PUNCT
brj-23824	61	17	7594	7594	NUM
brj-23824	61	18	traditionally	traditionally	ADV
brj-23824	61	19	identified	identify	VERB
brj-23824	61	20	in	in	ADP
brj-23824	61	21	the	the	DET
brj-23824	61	22	papermaking	papermaking	NOUN
brj-23824	61	23	process	process	NOUN
brj-23824	61	24	.	.	PUNCT
brj-23824	62	1	this	this	DET
brj-23824	62	2	terminology	terminology	NOUN
brj-23824	62	3	is	be	AUX
brj-23824	62	4	crucial	crucial	ADJ
brj-23824	62	5	because	because	SCONJ
brj-23824	62	6	the	the	DET
brj-23824	62	7	exact	exact	ADJ
brj-23824	62	8	orientation	orientation	NOUN
brj-23824	62	9	of	of	ADP
brj-23824	62	10	the	the	DET
brj-23824	62	11	paper	paper	NOUN
brj-23824	62	12	as	as	SCONJ
brj-23824	62	13	it	it	PRON
brj-23824	62	14	was	be	AUX
brj-23824	62	15	manufactured	manufacture	VERB
brj-23824	62	16	is	be	AUX
brj-23824	62	17	often	often	ADV
brj-23824	62	18	unknown	unknown	ADJ
brj-23824	62	19	during	during	ADP
brj-23824	62	20	forensic	forensic	ADJ
brj-23824	62	21	examination	examination	NOUN
brj-23824	62	22	.	.	PUNCT
brj-23824	63	1	additionally	additionally	ADV
brj-23824	63	2	,	,	PUNCT
brj-23824	63	3	in	in	ADP
brj-23824	63	4	cases	case	NOUN
brj-23824	63	5	where	where	SCONJ
brj-23824	63	6	the	the	DET
brj-23824	63	7	paper	paper	NOUN
brj-23824	63	8	was	be	AUX
brj-23824	63	9	produced	produce	VERB
brj-23824	63	10	using	use	VERB
brj-23824	63	11	a	a	DET
brj-23824	63	12	hybrid	hybrid	ADJ
brj-23824	63	13	former	former	ADJ
brj-23824	63	14	,	,	PUNCT
brj-23824	63	15	the	the	DET
brj-23824	63	16	distinction	distinction	NOUN
brj-23824	63	17	between	between	ADP
brj-23824	63	18	the	the	DET
brj-23824	63	19	wire	wire	NOUN
brj-23824	63	20	side	side	NOUN
brj-23824	63	21	and	and	CCONJ
brj-23824	63	22	felt	feel	VERB
brj-23824	63	23	side	side	NOUN
brj-23824	63	24	may	may	AUX
brj-23824	63	25	not	not	PART
brj-23824	63	26	be	be	AUX
brj-23824	63	27	clear	clear	ADJ
brj-23824	63	28	.	.	PUNCT
brj-23824	64	1	therefore	therefore	ADV
brj-23824	64	2	,	,	PUNCT
brj-23824	64	3	using	use	VERB
brj-23824	64	4	“	"	PUNCT
brj-23824	64	5	top	top	ADJ
brj-23824	64	6	”	"	PUNCT
brj-23824	64	7	and	and	CCONJ
brj-23824	64	8	“	"	PUNCT
brj-23824	64	9	bottom	bottom	ADJ
brj-23824	64	10	”	"	PUNCT
brj-23824	64	11	ensures	ensure	VERB
brj-23824	64	12	clarity	clarity	NOUN
brj-23824	64	13	and	and	CCONJ
brj-23824	64	14	consistency	consistency	NOUN
brj-23824	64	15	in	in	ADP
brj-23824	64	16	the	the	DET
brj-23824	64	17	analysis	analysis	NOUN
brj-23824	64	18	.	.	PUNCT
brj-23824	65	1	accordingly	accordingly	ADV
brj-23824	65	2	,	,	PUNCT
brj-23824	65	3	the	the	DET
brj-23824	65	4	scanned	scan	VERB
brj-23824	65	5	matrices	matrix	NOUN
brj-23824	65	6	for	for	ADP
brj-23824	65	7	the	the	DET
brj-23824	65	8	top	top	NOUN
brj-23824	65	9	and	and	CCONJ
brj-23824	65	10	bottom	bottom	NOUN
brj-23824	65	11	of	of	ADP
brj-23824	65	12	the	the	DET
brj-23824	65	13	paper	paper	NOUN
brj-23824	65	14	were	be	AUX
brj-23824	65	15	aligned	align	VERB
brj-23824	65	16	horizontally	horizontally	ADV
brj-23824	65	17	.	.	PUNCT
brj-23824	66	1	figure	figure	NOUN
brj-23824	66	2	2	2	NUM
brj-23824	66	3	shows	show	VERB
brj-23824	66	4	examples	example	NOUN
brj-23824	66	5	of	of	ADP
brj-23824	66	6	how	how	SCONJ
brj-23824	66	7	the	the	DET
brj-23824	66	8	experimental	experimental	ADJ
brj-23824	66	9	dataset	dataset	NOUN
brj-23824	66	10	was	be	AUX
brj-23824	66	11	formatted	format	VERB
brj-23824	66	12	.	.	PUNCT
brj-23824	67	1	ultimately	ultimately	ADV
brj-23824	67	2	,	,	PUNCT
brj-23824	67	3	a	a	DET
brj-23824	67	4	dataset	dataset	NOUN
brj-23824	67	5	comprising	comprising	NOUN
brj-23824	67	6	900	900	NUM
brj-23824	67	7	samples	sample	NOUN
brj-23824	67	8	was	be	AUX
brj-23824	67	9	constructed	construct	VERB
brj-23824	67	10	for	for	ADP
brj-23824	67	11	classification	classification	NOUN
brj-23824	67	12	modeling	modeling	NOUN
brj-23824	67	13	.	.	PUNCT
brj-23824	68	1	fig	fig	NOUN
brj-23824	68	2	.	.	PUNCT
brj-23824	69	1	1	1	X
brj-23824	69	2	.	.	X
brj-23824	69	3	principles	principle	NOUN
brj-23824	69	4	to	to	PART
brj-23824	69	5	calculate	calculate	VERB
brj-23824	69	6	intensity	intensity	NOUN
brj-23824	69	7	,	,	PUNCT
brj-23824	69	8	step	step	NOUN
brj-23824	69	9	,	,	PUNCT
brj-23824	69	10	and	and	CCONJ
brj-23824	69	11	angle	angle	NOUN
brj-23824	69	12	measurements	measurement	NOUN
brj-23824	69	13	from	from	ADP
brj-23824	69	14	digital	digital	ADJ
brj-23824	69	15	look	look	NOUN
brj-23824	69	16	-	-	PUNCT
brj-23824	69	17	through	through	ADP
brj-23824	69	18	images	image	NOUN
brj-23824	69	19	fig	fig	NOUN
brj-23824	69	20	.	.	PUNCT
brj-23824	70	1	2	2	X
brj-23824	70	2	.	.	X
brj-23824	70	3	combining	combine	VERB
brj-23824	70	4	two	two	NUM
brj-23824	70	5	data	datum	NOUN
brj-23824	70	6	frames	frame	NOUN
brj-23824	70	7	to	to	PART
brj-23824	70	8	format	format	VERB
brj-23824	70	9	the	the	DET
brj-23824	70	10	dataset	dataset	NOUN
brj-23824	70	11	data	datum	NOUN
brj-23824	70	12	preprocessing	preprocesse	VERB
brj-23824	70	13	it	it	PRON
brj-23824	70	14	is	be	AUX
brj-23824	70	15	possible	possible	ADJ
brj-23824	70	16	to	to	PART
brj-23824	70	17	consider	consider	VERB
brj-23824	70	18	angles	angle	NOUN
brj-23824	70	19	as	as	ADP
brj-23824	70	20	symmetric	symmetric	ADJ
brj-23824	70	21	(	(	PUNCT
brj-23824	70	22	e.g.	e.g.	ADV
brj-23824	70	23	,	,	PUNCT
brj-23824	70	24	45	45	NUM
brj-23824	70	25	°	°	NUM
brj-23824	70	26	and	and	CCONJ
brj-23824	70	27	135	135	NUM
brj-23824	70	28	°	°	NUM
brj-23824	70	29	)	)	PUNCT
brj-23824	70	30	within	within	ADP
brj-23824	70	31	the	the	DET
brj-23824	70	32	same	same	ADJ
brj-23824	70	33	step	step	NOUN
brj-23824	70	34	,	,	PUNCT
brj-23824	70	35	and	and	CCONJ
brj-23824	70	36	in	in	ADP
brj-23824	70	37	this	this	DET
brj-23824	70	38	case	case	NOUN
brj-23824	70	39	,	,	PUNCT
brj-23824	70	40	they	they	PRON
brj-23824	70	41	are	be	AUX
brj-23824	70	42	considered	consider	VERB
brj-23824	70	43	equivalent	equivalent	ADJ
brj-23824	70	44	.	.	PUNCT
brj-23824	71	1	thus	thus	ADV
brj-23824	71	2	,	,	PUNCT
brj-23824	71	3	all	all	DET
brj-23824	71	4	angle	angle	NOUN
brj-23824	71	5	data	datum	NOUN
brj-23824	71	6	were	be	AUX
brj-23824	71	7	converted	convert	VERB
brj-23824	71	8	using	use	VERB
brj-23824	71	9	the	the	DET
brj-23824	71	10	absolute	absolute	ADJ
brj-23824	71	11	value	value	NOUN
brj-23824	71	12	of	of	ADP
brj-23824	71	13	the	the	DET
brj-23824	71	14	sine	sine	ADJ
brj-23824	71	15	function	function	NOUN
brj-23824	71	16	.	.	PUNCT
brj-23824	72	1	dataset	dataset	NOUN
brj-23824	72	2	splitting	split	VERB
brj-23824	72	3	the	the	DET
brj-23824	72	4	dataset	dataset	NOUN
brj-23824	72	5	was	be	AUX
brj-23824	72	6	split	split	VERB
brj-23824	72	7	into	into	ADP
brj-23824	72	8	training	training	NOUN
brj-23824	72	9	and	and	CCONJ
brj-23824	72	10	test	test	NOUN
brj-23824	72	11	sets	set	NOUN
brj-23824	72	12	at	at	ADP
brj-23824	72	13	a	a	DET
brj-23824	72	14	ratio	ratio	NOUN
brj-23824	72	15	of	of	ADP
brj-23824	72	16	7:3	7:3	NUM
brj-23824	72	17	to	to	PART
brj-23824	72	18	train	train	VERB
brj-23824	72	19	and	and	CCONJ
brj-23824	72	20	evaluate	evaluate	VERB
brj-23824	72	21	the	the	DET
brj-23824	72	22	compared	compare	VERB
brj-23824	72	23	classification	classification	NOUN
brj-23824	72	24	models	model	NOUN
brj-23824	72	25	.	.	PUNCT
brj-23824	73	1	here	here	ADV
brj-23824	73	2	,	,	PUNCT
brj-23824	73	3	the	the	DET
brj-23824	73	4	data	datum	NOUN
brj-23824	73	5	were	be	AUX
brj-23824	73	6	partitioned	partition	VERB
brj-23824	73	7	using	use	VERB
brj-23824	73	8	stratified	stratify	VERB
brj-23824	73	9	random	random	ADJ
brj-23824	73	10	sampling	sampling	NOUN
brj-23824	73	11	to	to	PART
brj-23824	73	12	maintain	maintain	VERB
brj-23824	73	13	the	the	DET
brj-23824	73	14	specified	specified	ADJ
brj-23824	73	15	split	split	ADJ
brj-23824	73	16	ratio	ratio	NOUN
brj-23824	73	17	for	for	ADP
brj-23824	73	18	all	all	DET
brj-23824	73	19	classes	class	NOUN
brj-23824	73	20	.	.	PUNCT
brj-23824	74	1	peer	peer	NOUN
brj-23824	74	2	-	-	PUNCT
brj-23824	74	3	reviewed	review	VERB
brj-23824	74	4	article__________________bioresources.cnr.ncsu.edu	article__________________bioresources.cnr.ncsu.edu	NOUN
brj-23824	74	5	lee	lee	PROPN
brj-23824	74	6	et	et	PROPN
brj-23824	74	7	al	al	PROPN
brj-23824	74	8	.	.	PROPN
brj-23824	74	9	(	(	PUNCT
brj-23824	74	10	2024	2024	NUM
brj-23824	74	11	)	)	PUNCT
brj-23824	74	12	.	.	PUNCT
brj-23824	75	1	“	"	PUNCT
brj-23824	75	2	wire	wire	NOUN
brj-23824	75	3	mark	mark	NOUN
brj-23824	75	4	as	as	ADP
brj-23824	75	5	forensic	forensic	ADJ
brj-23824	75	6	evidence	evidence	NOUN
brj-23824	75	7	,	,	PUNCT
brj-23824	75	8	”	"	PUNCT
brj-23824	75	9	bioresources	bioresource	NOUN
brj-23824	75	10	19(4	19(4	NUM
brj-23824	75	11	)	)	PUNCT
brj-23824	75	12	,	,	PUNCT
brj-23824	75	13	7591	7591	NUM
brj-23824	75	14	-	-	SYM
brj-23824	75	15	7605	7605	NUM
brj-23824	75	16	.	.	PUNCT
brj-23824	76	1	7595	7595	NUM
brj-23824	76	2	classification	classification	NOUN
brj-23824	76	3	modeling	model	VERB
brj-23824	76	4	partial	partial	ADJ
brj-23824	76	5	least	least	ADJ
brj-23824	76	6	squares	square	NOUN
brj-23824	76	7	discriminant	discriminant	ADJ
brj-23824	76	8	analysis	analysis	NOUN
brj-23824	76	9	partial	partial	ADJ
brj-23824	76	10	least	least	ADJ
brj-23824	76	11	squares	square	NOUN
brj-23824	76	12	discriminant	discriminant	ADJ
brj-23824	76	13	analysis	analysis	NOUN
brj-23824	76	14	(	(	PUNCT
brj-23824	76	15	pls	pls	INTJ
brj-23824	76	16	-	-	PUNCT
brj-23824	76	17	da	da	NOUN
brj-23824	76	18	)	)	PUNCT
brj-23824	76	19	is	be	AUX
brj-23824	76	20	based	base	VERB
brj-23824	76	21	on	on	ADP
brj-23824	76	22	the	the	DET
brj-23824	76	23	pls2	pls2	PROPN
brj-23824	76	24	algorithm	algorithm	NOUN
brj-23824	76	25	(	(	PUNCT
brj-23824	76	26	höskuldsson	höskuldsson	NOUN
brj-23824	76	27	1988	1988	NUM
brj-23824	76	28	;	;	PUNCT
brj-23824	76	29	wold	wold	PROPN
brj-23824	76	30	et	et	PROPN
brj-23824	76	31	al	al	PROPN
brj-23824	76	32	.	.	PROPN
brj-23824	76	33	2001	2001	NUM
brj-23824	76	34	;	;	PUNCT
brj-23824	76	35	stocchero	stocchero	NOUN
brj-23824	76	36	2019	2019	NUM
brj-23824	76	37	)	)	PUNCT
brj-23824	76	38	.	.	PUNCT
brj-23824	77	1	pls	pls	PROPN
brj-23824	77	2	-	-	PUNCT
brj-23824	77	3	da	da	PROPN
brj-23824	77	4	is	be	AUX
brj-23824	77	5	performed	perform	VERB
brj-23824	77	6	to	to	PART
brj-23824	77	7	identify	identify	VERB
brj-23824	77	8	latent	latent	NOUN
brj-23824	77	9	variables	variable	NOUN
brj-23824	77	10	that	that	PRON
brj-23824	77	11	exhibit	exhibit	VERB
brj-23824	77	12	the	the	DET
brj-23824	77	13	maximum	maximum	ADJ
brj-23824	77	14	covariance	covariance	NOUN
brj-23824	77	15	between	between	ADP
brj-23824	77	16	the	the	DET
brj-23824	77	17	independent	independent	ADJ
brj-23824	77	18	variables	variable	NOUN
brj-23824	77	19	(	(	PUNCT
brj-23824	77	20	x	x	NOUN
brj-23824	77	21	)	)	PUNCT
brj-23824	77	22	and	and	CCONJ
brj-23824	77	23	their	their	PRON
brj-23824	77	24	corresponding	corresponding	ADJ
brj-23824	77	25	dependent	dependent	ADJ
brj-23824	77	26	variables	variable	NOUN
brj-23824	77	27	(	(	PUNCT
brj-23824	77	28	y	y	NOUN
brj-23824	77	29	)	)	PUNCT
brj-23824	77	30	.	.	PUNCT
brj-23824	78	1	this	this	DET
brj-23824	78	2	algorithm	algorithm	NOUN
brj-23824	78	3	enables	enable	VERB
brj-23824	78	4	the	the	DET
brj-23824	78	5	extraction	extraction	NOUN
brj-23824	78	6	of	of	ADP
brj-23824	78	7	relevant	relevant	ADJ
brj-23824	78	8	information	information	NOUN
brj-23824	78	9	from	from	ADP
brj-23824	78	10	high	high	ADJ
brj-23824	78	11	-	-	PUNCT
brj-23824	78	12	dimensional	dimensional	ADJ
brj-23824	78	13	datasets	dataset	NOUN
brj-23824	78	14	while	while	SCONJ
brj-23824	78	15	addressing	address	VERB
brj-23824	78	16	potential	potential	ADJ
brj-23824	78	17	multicollinearity	multicollinearity	NOUN
brj-23824	78	18	among	among	ADP
brj-23824	78	19	predictors	predictor	NOUN
brj-23824	78	20	.	.	PUNCT
brj-23824	79	1	here	here	ADV
brj-23824	79	2	,	,	PUNCT
brj-23824	79	3	the	the	DET
brj-23824	79	4	high	high	ADV
brj-23824	79	5	-	-	PUNCT
brj-23824	79	6	dimensional	dimensional	ADJ
brj-23824	79	7	data	datum	NOUN
brj-23824	79	8	were	be	AUX
brj-23824	79	9	transformed	transform	VERB
brj-23824	79	10	into	into	ADP
brj-23824	79	11	a	a	DET
brj-23824	79	12	new	new	ADJ
brj-23824	79	13	orthogonal	orthogonal	ADJ
brj-23824	79	14	coordinate	coordinate	NOUN
brj-23824	79	15	system	system	NOUN
brj-23824	79	16	with	with	ADP
brj-23824	79	17	10	10	NUM
brj-23824	79	18	pls	pls	NOUN
brj-23824	79	19	-	-	PUNCT
brj-23824	79	20	da	da	NOUN
brj-23824	79	21	components	component	NOUN
brj-23824	79	22	,	,	PUNCT
brj-23824	79	23	thereby	thereby	ADV
brj-23824	79	24	effectively	effectively	ADV
brj-23824	79	25	reducing	reduce	VERB
brj-23824	79	26	the	the	DET
brj-23824	79	27	dimensionality	dimensionality	NOUN
brj-23824	79	28	of	of	ADP
brj-23824	79	29	the	the	DET
brj-23824	79	30	data	datum	NOUN
brj-23824	79	31	.	.	PUNCT
brj-23824	80	1	note	note	VERB
brj-23824	80	2	that	that	SCONJ
brj-23824	80	3	the	the	DET
brj-23824	80	4	optimization	optimization	NOUN
brj-23824	80	5	of	of	ADP
brj-23824	80	6	pls	pls	PROPN
brj-23824	80	7	-	-	PUNCT
brj-23824	80	8	da	da	NOUN
brj-23824	80	9	models	model	NOUN
brj-23824	80	10	involves	involve	VERB
brj-23824	80	11	grid	grid	NOUN
brj-23824	80	12	searches	search	NOUN
brj-23824	80	13	to	to	PART
brj-23824	80	14	control	control	VERB
brj-23824	80	15	the	the	DET
brj-23824	80	16	number	number	NOUN
brj-23824	80	17	of	of	ADP
brj-23824	80	18	pls	pls	PROPN
brj-23824	80	19	components	component	NOUN
brj-23824	80	20	,	,	PUNCT
brj-23824	80	21	thereby	thereby	ADV
brj-23824	80	22	minimizing	minimize	VERB
brj-23824	80	23	the	the	DET
brj-23824	80	24	misclassification	misclassification	NOUN
brj-23824	80	25	of	of	ADP
brj-23824	80	26	the	the	DET
brj-23824	80	27	training	training	NOUN
brj-23824	80	28	data	datum	NOUN
brj-23824	80	29	.	.	PUNCT
brj-23824	81	1	support	support	NOUN
brj-23824	81	2	vector	vector	NOUN
brj-23824	81	3	machine	machine	NOUN
brj-23824	81	4	the	the	DET
brj-23824	81	5	support	support	NOUN
brj-23824	81	6	vector	vector	NOUN
brj-23824	81	7	machine	machine	NOUN
brj-23824	81	8	(	(	PUNCT
brj-23824	81	9	svm	svm	PROPN
brj-23824	81	10	)	)	PUNCT
brj-23824	81	11	is	be	AUX
brj-23824	81	12	designed	design	VERB
brj-23824	81	13	to	to	PART
brj-23824	81	14	find	find	VERB
brj-23824	81	15	a	a	DET
brj-23824	81	16	decision	decision	NOUN
brj-23824	81	17	boundary	boundary	NOUN
brj-23824	81	18	that	that	PRON
brj-23824	81	19	maximizes	maximize	VERB
brj-23824	81	20	the	the	DET
brj-23824	81	21	margin	margin	NOUN
brj-23824	81	22	between	between	ADP
brj-23824	81	23	different	different	ADJ
brj-23824	81	24	classes	class	NOUN
brj-23824	81	25	,	,	PUNCT
brj-23824	81	26	thereby	thereby	ADV
brj-23824	81	27	facilitating	facilitate	VERB
brj-23824	81	28	linear	linear	ADJ
brj-23824	81	29	classification	classification	NOUN
brj-23824	81	30	.	.	PUNCT
brj-23824	82	1	by	by	ADP
brj-23824	82	2	utilizing	utilize	VERB
brj-23824	82	3	a	a	DET
brj-23824	82	4	radial	radial	ADJ
brj-23824	82	5	basis	basis	NOUN
brj-23824	82	6	function	function	NOUN
brj-23824	82	7	(	(	PUNCT
brj-23824	82	8	rbf	rbf	PROPN
brj-23824	82	9	)	)	PUNCT
brj-23824	82	10	kernel	kernel	PROPN
brj-23824	82	11	,	,	PUNCT
brj-23824	82	12	an	an	DET
brj-23824	82	13	svm	svm	ADJ
brj-23824	82	14	model	model	NOUN
brj-23824	82	15	projects	project	NOUN
brj-23824	82	16	data	datum	NOUN
brj-23824	82	17	into	into	ADP
brj-23824	82	18	a	a	DET
brj-23824	82	19	highdimensional	highdimensional	ADJ
brj-23824	82	20	feature	feature	NOUN
brj-23824	82	21	space	space	NOUN
brj-23824	82	22	to	to	PART
brj-23824	82	23	determine	determine	VERB
brj-23824	82	24	the	the	DET
brj-23824	82	25	optimal	optimal	ADJ
brj-23824	82	26	hyperplane	hyperplane	NOUN
brj-23824	82	27	(	(	PUNCT
brj-23824	82	28	vert	vert	PROPN
brj-23824	82	29	et	et	PROPN
brj-23824	82	30	al	al	PROPN
brj-23824	82	31	.	.	PROPN
brj-23824	82	32	2004	2004	NUM
brj-23824	82	33	)	)	PUNCT
brj-23824	82	34	.	.	PUNCT
brj-23824	83	1	in	in	ADP
brj-23824	83	2	this	this	DET
brj-23824	83	3	study	study	NOUN
brj-23824	83	4	,	,	PUNCT
brj-23824	83	5	the	the	DET
brj-23824	83	6	cost	cost	NOUN
brj-23824	83	7	and	and	CCONJ
brj-23824	83	8	gamma	gamma	NOUN
brj-23824	83	9	parameters	parameter	NOUN
brj-23824	83	10	of	of	ADP
brj-23824	83	11	the	the	DET
brj-23824	83	12	rbf	rbf	PROPN
brj-23824	83	13	kernel	kernel	PROPN
brj-23824	83	14	in	in	ADP
brj-23824	83	15	the	the	DET
brj-23824	83	16	svm	svm	NOUN
brj-23824	83	17	were	be	AUX
brj-23824	83	18	fine	fine	ADV
brj-23824	83	19	-	-	PUNCT
brj-23824	83	20	tuned	tune	VERB
brj-23824	83	21	using	use	VERB
brj-23824	83	22	grid	grid	NOUN
brj-23824	83	23	searches	search	NOUN
brj-23824	83	24	over	over	ADP
brj-23824	83	25	a	a	DET
brj-23824	83	26	logarithmic	logarithmic	ADJ
brj-23824	83	27	scale	scale	NOUN
brj-23824	83	28	ranging	range	VERB
brj-23824	83	29	from	from	ADP
brj-23824	83	30	2−3	2−3	NUM
brj-23824	83	31	to	to	ADP
brj-23824	83	32	23	23	NUM
brj-23824	83	33	for	for	ADP
brj-23824	83	34	cost	cost	NOUN
brj-23824	83	35	and	and	CCONJ
brj-23824	83	36	10−5	10−5	NUM
brj-23824	83	37	to	to	ADP
brj-23824	83	38	105	105	NUM
brj-23824	83	39	for	for	ADP
brj-23824	83	40	gamma	gamma	NOUN
brj-23824	83	41	.	.	PUNCT
brj-23824	84	1	the	the	DET
brj-23824	84	2	cost	cost	NOUN
brj-23824	84	3	and	and	CCONJ
brj-23824	84	4	gamma	gamma	NOUN
brj-23824	84	5	parameters	parameter	NOUN
brj-23824	84	6	manage	manage	VERB
brj-23824	84	7	the	the	DET
brj-23824	84	8	cost	cost	NOUN
brj-23824	84	9	associated	associate	VERB
brj-23824	84	10	with	with	ADP
brj-23824	84	11	misclassifying	misclassifye	VERB
brj-23824	84	12	the	the	DET
brj-23824	84	13	training	training	NOUN
brj-23824	84	14	data	datum	NOUN
brj-23824	84	15	and	and	CCONJ
brj-23824	84	16	the	the	DET
brj-23824	84	17	gaussian	gaussian	ADJ
brj-23824	84	18	kernel	kernel	NOUN
brj-23824	84	19	used	use	VERB
brj-23824	84	20	for	for	ADP
brj-23824	84	21	nonlinear	nonlinear	ADJ
brj-23824	84	22	classification	classification	NOUN
brj-23824	84	23	,	,	PUNCT
brj-23824	84	24	respectively	respectively	ADV
brj-23824	84	25	.	.	PUNCT
brj-23824	85	1	artificial	artificial	ADJ
brj-23824	85	2	neural	neural	ADJ
brj-23824	85	3	network	network	NOUN
brj-23824	85	4	artificial	artificial	ADJ
brj-23824	85	5	neural	neural	ADJ
brj-23824	85	6	network	network	NOUN
brj-23824	85	7	(	(	PUNCT
brj-23824	85	8	ann	ann	PROPN
brj-23824	85	9	)	)	PUNCT
brj-23824	85	10	classifiers	classifier	NOUN
brj-23824	85	11	have	have	AUX
brj-23824	85	12	been	be	AUX
brj-23824	85	13	developed	develop	VERB
brj-23824	85	14	for	for	ADP
brj-23824	85	15	document	document	NOUN
brj-23824	85	16	dating	date	VERB
brj-23824	85	17	,	,	PUNCT
brj-23824	85	18	and	and	CCONJ
brj-23824	85	19	feedforward	feedforward	NOUN
brj-23824	85	20	neural	neural	ADJ
brj-23824	85	21	networks	network	NOUN
brj-23824	85	22	using	use	VERB
brj-23824	85	23	the	the	DET
brj-23824	85	24	backpropagation	backpropagation	NOUN
brj-23824	85	25	algorithm	algorithm	NOUN
brj-23824	85	26	have	have	AUX
brj-23824	85	27	been	be	AUX
brj-23824	85	28	utilized	utilize	VERB
brj-23824	85	29	as	as	ADP
brj-23824	85	30	classifiers	classifier	NOUN
brj-23824	85	31	(	(	PUNCT
brj-23824	85	32	lecun	lecun	PROPN
brj-23824	85	33	et	et	PROPN
brj-23824	85	34	al	al	PROPN
brj-23824	85	35	.	.	PROPN
brj-23824	85	36	2012	2012	NUM
brj-23824	85	37	)	)	PUNCT
brj-23824	85	38	.	.	PUNCT
brj-23824	86	1	a	a	DET
brj-23824	86	2	multilayer	multilayer	ADJ
brj-23824	86	3	perceptron	perceptron	PROPN
brj-23824	86	4	was	be	AUX
brj-23824	86	5	implemented	implement	VERB
brj-23824	86	6	with	with	ADP
brj-23824	86	7	the	the	DET
brj-23824	86	8	rectified	rectified	ADJ
brj-23824	86	9	linear	linear	NOUN
brj-23824	86	10	unit	unit	NOUN
brj-23824	86	11	as	as	ADP
brj-23824	86	12	the	the	DET
brj-23824	86	13	activation	activation	NOUN
brj-23824	86	14	function	function	NOUN
brj-23824	86	15	and	and	CCONJ
brj-23824	86	16	cross	cross	NOUN
brj-23824	86	17	-	-	NOUN
brj-23824	86	18	entropy	entropy	NOUN
brj-23824	86	19	as	as	ADP
brj-23824	86	20	the	the	DET
brj-23824	86	21	loss	loss	NOUN
brj-23824	86	22	function	function	NOUN
brj-23824	86	23	,	,	PUNCT
brj-23824	86	24	and	and	CCONJ
brj-23824	86	25	both	both	CCONJ
brj-23824	86	26	the	the	DET
brj-23824	86	27	stochastic	stochastic	ADJ
brj-23824	86	28	gradient	gradient	ADJ
brj-23824	86	29	descent	descent	NOUN
brj-23824	86	30	and	and	CCONJ
brj-23824	86	31	adam	adam	PROPN
brj-23824	86	32	optimizers	optimizer	NOUN
brj-23824	86	33	were	be	AUX
brj-23824	86	34	employed	employ	VERB
brj-23824	86	35	.	.	PUNCT
brj-23824	87	1	table	table	NOUN
brj-23824	87	2	3	3	NUM
brj-23824	87	3	.	.	PUNCT
brj-23824	88	1	ann	ann	PROPN
brj-23824	88	2	architectures	architecture	NOUN
brj-23824	88	3	and	and	CCONJ
brj-23824	88	4	number	number	NOUN
brj-23824	88	5	of	of	ADP
brj-23824	88	6	nodes	node	NOUN
brj-23824	88	7	in	in	ADP
brj-23824	88	8	each	each	DET
brj-23824	88	9	layer	layer	NOUN
brj-23824	88	10	shallow	shallow	ADJ
brj-23824	88	11	network	network	NOUN
brj-23824	88	12	deep	deep	ADJ
brj-23824	88	13	network	network	NOUN
brj-23824	88	14	input	input	NOUN
brj-23824	88	15	layer	layer	NOUN
brj-23824	88	16	hidden	hide	VERB
brj-23824	88	17	layer	layer	NOUN
brj-23824	88	18	output	output	NOUN
brj-23824	88	19	layer	layer	NOUN
brj-23824	88	20	input	input	NOUN
brj-23824	88	21	layer	layer	NOUN
brj-23824	88	22	hidden	hide	VERB
brj-23824	88	23	layer	layer	NOUN
brj-23824	88	24	output	output	NOUN
brj-23824	88	25	layer	layer	NOUN
brj-23824	88	26	1st	1st	ADJ
brj-23824	88	27	2nd	2nd	NOUN
brj-23824	89	1	60	60	NUM
brj-23824	89	2	16	16	NUM
brj-23824	89	3	11	11	NUM
brj-23824	89	4	60	60	NUM
brj-23824	89	5	16	16	NUM
brj-23824	89	6	16	16	NUM
brj-23824	89	7	11	11	NUM
brj-23824	89	8	32	32	NUM
brj-23824	89	9	16	16	NUM
brj-23824	89	10	32	32	NUM
brj-23824	89	11	64	64	NUM
brj-23824	89	12	16	16	NUM
brj-23824	89	13	64	64	NUM
brj-23824	89	14	128	128	NUM
brj-23824	89	15	16	16	NUM
brj-23824	89	16	128	128	NUM
brj-23824	89	17	32	32	NUM
brj-23824	89	18	16	16	NUM
brj-23824	89	19	32	32	NUM
brj-23824	89	20	32	32	NUM
brj-23824	89	21	32	32	NUM
brj-23824	89	22	64	64	NUM
brj-23824	89	23	32	32	NUM
brj-23824	89	24	128	128	NUM
brj-23824	89	25	64	64	NUM
brj-23824	89	26	16	16	NUM
brj-23824	89	27	64	64	NUM
brj-23824	89	28	32	32	NUM
brj-23824	89	29	64	64	NUM
brj-23824	89	30	64	64	NUM
brj-23824	89	31	64	64	NUM
brj-23824	89	32	128	128	NUM
brj-23824	89	33	128	128	NUM
brj-23824	89	34	16	16	NUM
brj-23824	89	35	128	128	NUM
brj-23824	89	36	32	32	NUM
brj-23824	89	37	128	128	NUM
brj-23824	89	38	64	64	NUM
brj-23824	89	39	128	128	NUM
brj-23824	89	40	128	128	NUM
brj-23824	89	41	peer	peer	NOUN
brj-23824	89	42	-	-	PUNCT
brj-23824	89	43	reviewed	review	VERB
brj-23824	89	44	article__________________bioresources.cnr.ncsu.edu	article__________________bioresources.cnr.ncsu.edu	NOUN
brj-23824	89	45	lee	lee	PROPN
brj-23824	89	46	et	et	PROPN
brj-23824	89	47	al	al	PROPN
brj-23824	89	48	.	.	PROPN
brj-23824	89	49	(	(	PUNCT
brj-23824	89	50	2024	2024	NUM
brj-23824	89	51	)	)	PUNCT
brj-23824	89	52	.	.	PUNCT
brj-23824	90	1	“	"	PUNCT
brj-23824	90	2	wire	wire	NOUN
brj-23824	90	3	mark	mark	NOUN
brj-23824	90	4	as	as	ADP
brj-23824	90	5	forensic	forensic	ADJ
brj-23824	90	6	evidence	evidence	NOUN
brj-23824	90	7	,	,	PUNCT
brj-23824	90	8	”	"	PUNCT
brj-23824	90	9	bioresources	bioresource	NOUN
brj-23824	90	10	19(4	19(4	NUM
brj-23824	90	11	)	)	PUNCT
brj-23824	90	12	,	,	PUNCT
brj-23824	90	13	7591	7591	NUM
brj-23824	90	14	-	-	SYM
brj-23824	90	15	7605	7605	NUM
brj-23824	90	16	.	.	PUNCT
brj-23824	90	17	7596	7596	NUM
brj-23824	90	18	to	to	PART
brj-23824	90	19	identify	identify	VERB
brj-23824	90	20	the	the	DET
brj-23824	90	21	optimal	optimal	ADJ
brj-23824	90	22	network	network	NOUN
brj-23824	90	23	architecture	architecture	NOUN
brj-23824	90	24	,	,	PUNCT
brj-23824	90	25	various	various	ADJ
brj-23824	90	26	ann	ann	PROPN
brj-23824	90	27	configurations	configuration	NOUN
brj-23824	90	28	comprising	comprise	VERB
brj-23824	90	29	either	either	CCONJ
brj-23824	90	30	one	one	NUM
brj-23824	90	31	or	or	CCONJ
brj-23824	90	32	two	two	NUM
brj-23824	90	33	hidden	hidden	ADJ
brj-23824	90	34	layers	layer	NOUN
brj-23824	90	35	with	with	ADP
brj-23824	90	36	different	different	ADJ
brj-23824	90	37	numbers	number	NOUN
brj-23824	90	38	of	of	ADP
brj-23824	90	39	nodes	node	NOUN
brj-23824	90	40	were	be	AUX
brj-23824	90	41	tested	test	VERB
brj-23824	90	42	,	,	PUNCT
brj-23824	90	43	and	and	CCONJ
brj-23824	90	44	initial	initial	ADJ
brj-23824	90	45	learning	learning	NOUN
brj-23824	90	46	rates	rate	NOUN
brj-23824	90	47	of	of	ADP
brj-23824	90	48	0.001	0.001	NUM
brj-23824	90	49	,	,	PUNCT
brj-23824	90	50	0.01	0.01	NUM
brj-23824	90	51	,	,	PUNCT
brj-23824	90	52	and	and	CCONJ
brj-23824	90	53	0.1	0.1	NUM
brj-23824	90	54	were	be	AUX
brj-23824	90	55	evaluated	evaluate	VERB
brj-23824	90	56	,	,	PUNCT
brj-23824	90	57	with	with	ADP
brj-23824	90	58	a	a	DET
brj-23824	90	59	maximum	maximum	NOUN
brj-23824	90	60	of	of	ADP
brj-23824	90	61	300	300	NUM
brj-23824	90	62	iterations	iteration	NOUN
brj-23824	90	63	for	for	ADP
brj-23824	90	64	training	training	NOUN
brj-23824	90	65	.	.	PUNCT
brj-23824	91	1	the	the	DET
brj-23824	91	2	network	network	NOUN
brj-23824	91	3	architecture	architecture	NOUN
brj-23824	91	4	,	,	PUNCT
brj-23824	91	5	optimizer	optimizer	NOUN
brj-23824	91	6	,	,	PUNCT
brj-23824	91	7	and	and	CCONJ
brj-23824	91	8	learning	learn	VERB
brj-23824	91	9	rate	rate	NOUN
brj-23824	91	10	were	be	AUX
brj-23824	91	11	finetuned	finetune	VERB
brj-23824	91	12	through	through	ADP
brj-23824	91	13	a	a	DET
brj-23824	91	14	grid	grid	NOUN
brj-23824	91	15	search	search	NOUN
brj-23824	91	16	method	method	NOUN
brj-23824	91	17	utilizing	utilize	VERB
brj-23824	91	18	threefold	threefold	ADJ
brj-23824	91	19	cross	cross	NOUN
brj-23824	91	20	-	-	NOUN
brj-23824	91	21	validation	validation	NOUN
brj-23824	91	22	.	.	PUNCT
brj-23824	92	1	then	then	ADV
brj-23824	92	2	,	,	PUNCT
brj-23824	92	3	the	the	DET
brj-23824	92	4	final	final	ADJ
brj-23824	92	5	classification	classification	NOUN
brj-23824	92	6	model	model	NOUN
brj-23824	92	7	was	be	AUX
brj-23824	92	8	selected	select	VERB
brj-23824	92	9	based	base	VERB
brj-23824	92	10	on	on	ADP
brj-23824	92	11	the	the	DET
brj-23824	92	12	configuration	configuration	NOUN
brj-23824	92	13	that	that	PRON
brj-23824	92	14	yielded	yield	VERB
brj-23824	92	15	the	the	DET
brj-23824	92	16	minimum	minimum	ADJ
brj-23824	92	17	loss	loss	NOUN
brj-23824	92	18	.	.	PUNCT
brj-23824	93	1	the	the	DET
brj-23824	93	2	architectures	architecture	NOUN
brj-23824	93	3	of	of	ADP
brj-23824	93	4	the	the	DET
brj-23824	93	5	tested	test	VERB
brj-23824	93	6	ann	ann	PROPN
brj-23824	93	7	model	model	NOUN
brj-23824	93	8	and	and	CCONJ
brj-23824	93	9	the	the	DET
brj-23824	93	10	number	number	NOUN
brj-23824	93	11	of	of	ADP
brj-23824	93	12	nodes	node	NOUN
brj-23824	93	13	in	in	ADP
brj-23824	93	14	each	each	DET
brj-23824	93	15	layer	layer	NOUN
brj-23824	93	16	are	be	AUX
brj-23824	93	17	shown	show	VERB
brj-23824	93	18	in	in	ADP
brj-23824	93	19	table	table	NOUN
brj-23824	93	20	3	3	NUM
brj-23824	93	21	.	.	PUNCT
brj-23824	93	22	principal	principal	ADJ
brj-23824	93	23	component	component	NOUN
brj-23824	93	24	analysis	analysis	NOUN
brj-23824	93	25	principal	principal	ADJ
brj-23824	93	26	component	component	NOUN
brj-23824	93	27	analysis	analysis	NOUN
brj-23824	93	28	(	(	PUNCT
brj-23824	93	29	pca	pca	NOUN
brj-23824	93	30	)	)	PUNCT
brj-23824	93	31	was	be	AUX
brj-23824	93	32	conducted	conduct	VERB
brj-23824	93	33	to	to	PART
brj-23824	93	34	visualize	visualize	VERB
brj-23824	93	35	the	the	DET
brj-23824	93	36	optimized	optimize	VERB
brj-23824	93	37	model	model	NOUN
brj-23824	93	38	.	.	PUNCT
brj-23824	94	1	using	use	VERB
brj-23824	94	2	pca	pca	PROPN
brj-23824	94	3	,	,	PUNCT
brj-23824	94	4	the	the	DET
brj-23824	94	5	high	high	ADV
brj-23824	94	6	-	-	PUNCT
brj-23824	94	7	dimensional	dimensional	ADJ
brj-23824	94	8	data	datum	NOUN
brj-23824	94	9	were	be	AUX
brj-23824	94	10	transformed	transform	VERB
brj-23824	94	11	into	into	ADP
brj-23824	94	12	a	a	DET
brj-23824	94	13	new	new	ADJ
brj-23824	94	14	orthogonal	orthogonal	ADJ
brj-23824	94	15	coordinate	coordinate	NOUN
brj-23824	94	16	system	system	NOUN
brj-23824	94	17	comprising	comprise	VERB
brj-23824	94	18	five	five	NUM
brj-23824	94	19	pcs	pc	NOUN
brj-23824	94	20	.	.	PUNCT
brj-23824	95	1	then	then	ADV
brj-23824	95	2	,	,	PUNCT
brj-23824	95	3	the	the	DET
brj-23824	95	4	transformed	transform	VERB
brj-23824	95	5	data	datum	NOUN
brj-23824	95	6	were	be	AUX
brj-23824	95	7	visualized	visualize	VERB
brj-23824	95	8	in	in	ADP
brj-23824	95	9	a	a	DET
brj-23824	95	10	2d	2d	NUM
brj-23824	95	11	space	space	NOUN
brj-23824	95	12	to	to	PART
brj-23824	95	13	analyze	analyze	VERB
brj-23824	95	14	the	the	DET
brj-23824	95	15	patterns	pattern	NOUN
brj-23824	95	16	in	in	ADP
brj-23824	95	17	the	the	DET
brj-23824	95	18	2d	2d	PROPN
brj-23824	95	19	-	-	PUNCT
brj-23824	95	20	f	f	NOUN
brj-23824	95	21	sensor	sensor	NOUN
brj-23824	95	22	data	datum	NOUN
brj-23824	95	23	.	.	PUNCT
brj-23824	96	1	variable	variable	ADJ
brj-23824	96	2	importance	importance	NOUN
brj-23824	96	3	measures	measure	VERB
brj-23824	96	4	the	the	DET
brj-23824	96	5	variable	variable	ADJ
brj-23824	96	6	importance	importance	NOUN
brj-23824	96	7	in	in	ADP
brj-23824	96	8	projections	projection	NOUN
brj-23824	96	9	(	(	PUNCT
brj-23824	96	10	vip	vip	NOUN
brj-23824	96	11	)	)	PUNCT
brj-23824	96	12	metric	metric	NOUN
brj-23824	96	13	(	(	PUNCT
brj-23824	96	14	wold	wold	PROPN
brj-23824	96	15	et	et	PROPN
brj-23824	96	16	al	al	PROPN
brj-23824	96	17	.	.	PROPN
brj-23824	96	18	1993	1993	NUM
brj-23824	96	19	)	)	PUNCT
brj-23824	96	20	from	from	ADP
brj-23824	96	21	the	the	DET
brj-23824	96	22	pls	pls	PROPN
brj-23824	96	23	-	-	PUNCT
brj-23824	96	24	da	da	NOUN
brj-23824	96	25	model	model	NOUN
brj-23824	96	26	is	be	AUX
brj-23824	96	27	commonly	commonly	ADV
brj-23824	96	28	referred	refer	VERB
brj-23824	96	29	to	to	ADP
brj-23824	96	30	as	as	ADP
brj-23824	96	31	the	the	DET
brj-23824	96	32	vip	vip	NOUN
brj-23824	96	33	score	score	NOUN
brj-23824	96	34	(	(	PUNCT
brj-23824	96	35	ericksson	ericksson	NOUN
brj-23824	96	36	et	et	PROPN
brj-23824	96	37	al	al	PROPN
brj-23824	96	38	.	.	PROPN
brj-23824	96	39	2001	2001	NUM
brj-23824	96	40	)	)	PUNCT
brj-23824	96	41	.	.	PUNCT
brj-23824	97	1	the	the	DET
brj-23824	97	2	concept	concept	NOUN
brj-23824	97	3	behind	behind	ADP
brj-23824	97	4	this	this	DET
brj-23824	97	5	measure	measure	NOUN
brj-23824	97	6	is	be	AUX
brj-23824	97	7	to	to	PART
brj-23824	97	8	accumulate	accumulate	VERB
brj-23824	97	9	the	the	DET
brj-23824	97	10	importance	importance	NOUN
brj-23824	97	11	of	of	ADP
brj-23824	97	12	each	each	DET
brj-23824	97	13	variable	variable	NOUN
brj-23824	97	14	𝑗	𝑗	INTJ
brj-23824	97	15	as	as	SCONJ
brj-23824	97	16	reflected	reflect	VERB
brj-23824	97	17	by	by	ADP
brj-23824	97	18	𝑤	𝑤	ADP
brj-23824	97	19	from	from	ADP
brj-23824	97	20	each	each	DET
brj-23824	97	21	component	component	NOUN
brj-23824	97	22	.	.	PUNCT
brj-23824	98	1	the	the	DET
brj-23824	98	2	vip	vip	NOUN
brj-23824	98	3	measure	measure	NOUN
brj-23824	98	4	𝑣𝑗	𝑣𝑗	ADP
brj-23824	98	5	is	be	AUX
brj-23824	98	6	defined	define	VERB
brj-23824	98	7	as	as	ADP
brj-23824	98	8	follows	follow	VERB
brj-23824	98	9	.	.	PUNCT
brj-23824	99	1	𝑣𝑗	𝑣𝑗	ADP
brj-23824	99	2	=	=	SYM
brj-23824	99	3	√	√	PUNCT
brj-23824	99	4	𝑝	𝑝	NOUN
brj-23824	99	5	∑	∑	SYM
brj-23824	99	6	𝑆𝑆𝑎	𝑆𝑆𝑎	PROPN
brj-23824	99	7	𝐴	𝐴	NOUN
brj-23824	99	8	𝑎=1	𝑎=1	PROPN
brj-23824	99	9	∑	∑	CCONJ
brj-23824	99	10	(	(	PUNCT
brj-23824	99	11	𝑆𝑆𝑎	𝑆𝑆𝑎	ADV
brj-23824	99	12	∙	∙	PROPN
brj-23824	99	13	(	(	PUNCT
brj-23824	99	14	𝑤𝑎𝑗	𝑤𝑎𝑗	NOUN
brj-23824	99	15	‖𝑤𝑎‖	‖𝑤𝑎‖	PROPN
brj-23824	99	16	)	)	PUNCT
brj-23824	99	17	2	2	NUM
brj-23824	99	18	)	)	PUNCT
brj-23824	99	19	𝐴	𝐴	NOUN
brj-23824	99	20	𝑎=1	𝑎=1	X
brj-23824	99	21	(	(	PUNCT
brj-23824	99	22	1	1	X
brj-23824	99	23	)	)	PUNCT
brj-23824	99	24	where	where	SCONJ
brj-23824	99	25	𝑆𝑆𝑎	𝑆𝑆𝑎	NOUN
brj-23824	99	26	is	be	AUX
brj-23824	99	27	the	the	DET
brj-23824	99	28	sum	sum	NOUN
brj-23824	99	29	of	of	ADP
brj-23824	99	30	the	the	DET
brj-23824	99	31	squares	square	NOUN
brj-23824	99	32	explained	explain	VERB
brj-23824	99	33	by	by	ADP
brj-23824	99	34	the	the	DET
brj-23824	99	35	𝑎	𝑎	PRON
brj-23824	99	36	th	th	NUM
brj-23824	99	37	component	component	NOUN
brj-23824	99	38	.	.	PUNCT
brj-23824	100	1	thus	thus	ADV
brj-23824	100	2	,	,	PUNCT
brj-23824	100	3	the	the	PRON
brj-23824	100	4	𝑣𝑗	𝑣𝑗	ADP
brj-23824	100	5	weights	weight	NOUN
brj-23824	100	6	measure	measure	VERB
brj-23824	100	7	the	the	DET
brj-23824	100	8	contribution	contribution	NOUN
brj-23824	100	9	of	of	ADP
brj-23824	100	10	each	each	DET
brj-23824	100	11	variable	variable	NOUN
brj-23824	100	12	according	accord	VERB
brj-23824	100	13	to	to	ADP
brj-23824	100	14	the	the	DET
brj-23824	100	15	variance	variance	NOUN
brj-23824	100	16	explained	explain	VERB
brj-23824	100	17	by	by	ADP
brj-23824	100	18	each	each	DET
brj-23824	100	19	pls	pls	NOUN
brj-23824	100	20	component	component	NOUN
brj-23824	100	21	,	,	PUNCT
brj-23824	100	22	where	where	SCONJ
brj-23824	100	23	(	(	PUNCT
brj-23824	100	24	𝑤𝑎𝑗	𝑤𝑎𝑗	NOUN
brj-23824	100	25	𝑤𝑎	𝑤𝑎	NOUN
brj-23824	100	26	)	)	PUNCT
brj-23824	100	27	2	2	NUM
brj-23824	100	28	represents	represent	VERB
brj-23824	100	29	the	the	DET
brj-23824	100	30	importance	importance	NOUN
brj-23824	100	31	of	of	ADP
brj-23824	100	32	the	the	DET
brj-23824	100	33	𝑗th	𝑗th	PROPN
brj-23824	100	34	variable	variable	NOUN
brj-23824	100	35	.	.	PUNCT
brj-23824	101	1	the	the	DET
brj-23824	101	2	variance	variance	NOUN
brj-23824	101	3	explained	explain	VERB
brj-23824	101	4	by	by	ADP
brj-23824	101	5	each	each	DET
brj-23824	101	6	component	component	NOUN
brj-23824	101	7	can	can	AUX
brj-23824	101	8	be	be	AUX
brj-23824	101	9	computed	compute	VERB
brj-23824	101	10	by	by	ADP
brj-23824	101	11	the	the	DET
brj-23824	101	12	expression	expression	NOUN
brj-23824	101	13	𝑞𝑎	𝑞𝑎	ADP
brj-23824	101	14	2𝑡𝑡𝑎𝑡𝑎́	2𝑡𝑡𝑎𝑡𝑎́	NUM
brj-23824	101	15	(	(	PUNCT
brj-23824	101	16	ericksson	ericksson	PROPN
brj-23824	101	17	et	et	PROPN
brj-23824	101	18	al	al	PROPN
brj-23824	101	19	.	.	PROPN
brj-23824	101	20	2001	2001	NUM
brj-23824	101	21	)	)	PUNCT
brj-23824	101	22	;	;	PUNCT
brj-23824	101	23	thus	thus	ADV
brj-23824	101	24	,	,	PUNCT
brj-23824	101	25	𝑣𝑗	𝑣𝑗	ADP
brj-23824	101	26	can	can	AUX
brj-23824	101	27	also	also	ADV
brj-23824	101	28	be	be	AUX
brj-23824	101	29	expressed	express	VERB
brj-23824	101	30	as	as	SCONJ
brj-23824	101	31	follows	follow	VERB
brj-23824	101	32	.	.	PUNCT
brj-23824	102	1	𝑣𝑗	𝑣𝑗	ADP
brj-23824	102	2	=	=	SYM
brj-23824	102	3	√𝑝∙∑	√𝑝∙∑	NOUN
brj-23824	102	4	𝑞𝑎	𝑞𝑎	ADP
brj-23824	102	5	2𝑡𝑡𝑎𝑡𝑎́	2𝑡𝑡𝑎𝑡𝑎́	NUM
brj-23824	102	6	∙	∙	PROPN
brj-23824	102	7	(	(	PUNCT
brj-23824	102	8	𝑤𝑎𝑗	𝑤𝑎𝑗	NOUN
brj-23824	102	9	‖𝑤𝑎‖	‖𝑤𝑎‖	PROPN
brj-23824	102	10	)	)	PUNCT
brj-23824	102	11	2	2	NUM
brj-23824	102	12	𝐴	𝐴	PROPN
brj-23824	102	13	𝑎=1	𝑎=1	PUNCT
brj-23824	102	14	∑	∑	PART
brj-23824	102	15	𝑆𝑆𝑎	𝑆𝑆𝑎	PROPN
brj-23824	102	16	𝐴	𝐴	NOUN
brj-23824	102	17	𝑎=1	𝑎=1	NOUN
brj-23824	102	18	(	(	PUNCT
brj-23824	102	19	2	2	X
brj-23824	102	20	)	)	PUNCT
brj-23824	102	21	this	this	PRON
brj-23824	102	22	provides	provide	VERB
brj-23824	102	23	a	a	DET
brj-23824	102	24	robust	robust	ADJ
brj-23824	102	25	measure	measure	NOUN
brj-23824	102	26	of	of	ADP
brj-23824	102	27	the	the	DET
brj-23824	102	28	relative	relative	ADJ
brj-23824	102	29	importance	importance	NOUN
brj-23824	102	30	of	of	ADP
brj-23824	102	31	each	each	DET
brj-23824	102	32	variable	variable	NOUN
brj-23824	102	33	in	in	ADP
brj-23824	102	34	the	the	DET
brj-23824	102	35	pls	pls	PROPN
brj-23824	102	36	model	model	NOUN
brj-23824	102	37	.	.	PUNCT
brj-23824	103	1	evaluation	evaluation	NOUN
brj-23824	103	2	metrics	metric	NOUN
brj-23824	103	3	in	in	ADP
brj-23824	103	4	classification	classification	NOUN
brj-23824	103	5	tasks	task	NOUN
brj-23824	103	6	,	,	PUNCT
brj-23824	103	7	it	it	PRON
brj-23824	103	8	is	be	AUX
brj-23824	103	9	essential	essential	ADJ
brj-23824	103	10	to	to	PART
brj-23824	103	11	assess	assess	VERB
brj-23824	103	12	the	the	DET
brj-23824	103	13	classification	classification	NOUN
brj-23824	103	14	accuracy	accuracy	NOUN
brj-23824	103	15	into	into	ADP
brj-23824	103	16	positive	positive	ADJ
brj-23824	103	17	and	and	CCONJ
brj-23824	103	18	negative	negative	ADJ
brj-23824	103	19	categories	category	NOUN
brj-23824	103	20	.	.	PUNCT
brj-23824	104	1	here	here	ADV
brj-23824	104	2	,	,	PUNCT
brj-23824	104	3	true	true	ADJ
brj-23824	104	4	positives	positive	NOUN
brj-23824	104	5	refer	refer	VERB
brj-23824	104	6	to	to	ADP
brj-23824	104	7	correctly	correctly	ADV
brj-23824	104	8	classified	classified	ADJ
brj-23824	104	9	observations	observation	NOUN
brj-23824	104	10	that	that	PRON
brj-23824	104	11	belong	belong	VERB
brj-23824	104	12	to	to	ADP
brj-23824	104	13	the	the	DET
brj-23824	104	14	positive	positive	ADJ
brj-23824	104	15	class	class	NOUN
brj-23824	104	16	,	,	PUNCT
brj-23824	104	17	and	and	CCONJ
brj-23824	104	18	true	true	ADJ
brj-23824	104	19	negatives	negative	NOUN
brj-23824	104	20	are	be	AUX
brj-23824	104	21	correctly	correctly	ADV
brj-23824	104	22	classified	classify	VERB
brj-23824	104	23	observations	observation	NOUN
brj-23824	104	24	that	that	PRON
brj-23824	104	25	belong	belong	VERB
brj-23824	104	26	to	to	ADP
brj-23824	104	27	the	the	DET
brj-23824	104	28	negative	negative	ADJ
brj-23824	104	29	class	class	NOUN
brj-23824	104	30	.	.	PUNCT
brj-23824	105	1	in	in	ADP
brj-23824	105	2	addition	addition	NOUN
brj-23824	105	3	,	,	PUNCT
brj-23824	105	4	false	false	ADJ
brj-23824	105	5	negatives	negative	NOUN
brj-23824	105	6	are	be	AUX
brj-23824	105	7	instances	instance	NOUN
brj-23824	105	8	of	of	ADP
brj-23824	105	9	positive	positive	ADJ
brj-23824	105	10	classes	class	NOUN
brj-23824	105	11	incorrectly	incorrectly	ADV
brj-23824	105	12	classified	classify	VERB
brj-23824	105	13	as	as	ADP
brj-23824	105	14	negative	negative	ADJ
brj-23824	105	15	,	,	PUNCT
brj-23824	105	16	and	and	CCONJ
brj-23824	105	17	false	false	ADJ
brj-23824	105	18	positives	positive	NOUN
brj-23824	105	19	are	be	AUX
brj-23824	105	20	instances	instance	NOUN
brj-23824	105	21	of	of	ADP
brj-23824	105	22	negative	negative	ADJ
brj-23824	105	23	classes	class	NOUN
brj-23824	105	24	incorrectly	incorrectly	ADV
brj-23824	105	25	classified	classify	VERB
brj-23824	105	26	as	as	ADP
brj-23824	105	27	positive	positive	ADJ
brj-23824	105	28	.	.	PUNCT
brj-23824	106	1	peer	peer	NOUN
brj-23824	106	2	-	-	PUNCT
brj-23824	106	3	reviewed	review	VERB
brj-23824	106	4	article__________________bioresources.cnr.ncsu.edu	article__________________bioresources.cnr.ncsu.edu	NOUN
brj-23824	106	5	lee	lee	PROPN
brj-23824	106	6	et	et	PROPN
brj-23824	106	7	al	al	PROPN
brj-23824	106	8	.	.	PROPN
brj-23824	106	9	(	(	PUNCT
brj-23824	106	10	2024	2024	NUM
brj-23824	106	11	)	)	PUNCT
brj-23824	106	12	.	.	PUNCT
brj-23824	107	1	“	"	PUNCT
brj-23824	107	2	wire	wire	NOUN
brj-23824	107	3	mark	mark	NOUN
brj-23824	107	4	as	as	ADP
brj-23824	107	5	forensic	forensic	ADJ
brj-23824	107	6	evidence	evidence	NOUN
brj-23824	107	7	,	,	PUNCT
brj-23824	107	8	”	"	PUNCT
brj-23824	107	9	bioresources	bioresource	NOUN
brj-23824	107	10	19(4	19(4	NUM
brj-23824	107	11	)	)	PUNCT
brj-23824	107	12	,	,	PUNCT
brj-23824	107	13	7591	7591	NUM
brj-23824	107	14	-	-	SYM
brj-23824	107	15	7605	7605	NUM
brj-23824	107	16	.	.	PUNCT
brj-23824	107	17	7597	7597	NUM
brj-23824	107	18	from	from	ADP
brj-23824	107	19	these	these	DET
brj-23824	107	20	values	value	NOUN
brj-23824	107	21	,	,	PUNCT
brj-23824	107	22	various	various	ADJ
brj-23824	107	23	performance	performance	NOUN
brj-23824	107	24	indicators	indicator	NOUN
brj-23824	107	25	can	can	AUX
brj-23824	107	26	be	be	AUX
brj-23824	107	27	calculated	calculate	VERB
brj-23824	107	28	to	to	PART
brj-23824	107	29	evaluate	evaluate	VERB
brj-23824	107	30	the	the	DET
brj-23824	107	31	classifier	classifier	NOUN
brj-23824	107	32	’s	’s	PART
brj-23824	107	33	ability	ability	NOUN
brj-23824	107	34	to	to	PART
brj-23824	107	35	detect	detect	VERB
brj-23824	107	36	the	the	DET
brj-23824	107	37	target	target	NOUN
brj-23824	107	38	class	class	NOUN
brj-23824	107	39	(	(	PUNCT
brj-23824	107	40	devries	devries	PROPN
brj-23824	107	41	et	et	PROPN
brj-23824	107	42	al	al	PROPN
brj-23824	107	43	.	.	PROPN
brj-23824	107	44	2003	2003	NUM
brj-23824	107	45	;	;	PUNCT
brj-23824	107	46	nielsen	nielsen	PROPN
brj-23824	107	47	2013	2013	NUM
brj-23824	107	48	)	)	PUNCT
brj-23824	107	49	.	.	PUNCT
brj-23824	108	1	in	in	ADP
brj-23824	108	2	this	this	DET
brj-23824	108	3	study	study	NOUN
brj-23824	108	4	,	,	PUNCT
brj-23824	108	5	the	the	DET
brj-23824	108	6	f1	f1	NOUN
brj-23824	108	7	-	-	PUNCT
brj-23824	108	8	score	score	NOUN
brj-23824	108	9	was	be	AUX
brj-23824	108	10	used	use	VERB
brj-23824	108	11	to	to	PART
brj-23824	108	12	evaluate	evaluate	VERB
brj-23824	108	13	the	the	DET
brj-23824	108	14	classification	classification	NOUN
brj-23824	108	15	performance	performance	NOUN
brj-23824	108	16	of	of	ADP
brj-23824	108	17	the	the	DET
brj-23824	108	18	models	model	NOUN
brj-23824	108	19	.	.	PUNCT
brj-23824	109	1	in	in	ADP
brj-23824	109	2	the	the	DET
brj-23824	109	3	classification	classification	NOUN
brj-23824	109	4	of	of	ADP
brj-23824	109	5	imbalanced	imbalanced	ADJ
brj-23824	109	6	datasets	dataset	NOUN
brj-23824	109	7	,	,	PUNCT
brj-23824	109	8	the	the	DET
brj-23824	109	9	accuracy	accuracy	NOUN
brj-23824	109	10	metric	metric	NOUN
brj-23824	109	11	frequently	frequently	ADV
brj-23824	109	12	yields	yield	VERB
brj-23824	109	13	biased	bias	VERB
brj-23824	109	14	results	result	NOUN
brj-23824	109	15	due	due	ADJ
brj-23824	109	16	to	to	ADP
brj-23824	109	17	oversampled	oversample	VERB
brj-23824	109	18	classes	class	NOUN
brj-23824	109	19	(	(	PUNCT
brj-23824	109	20	hwang	hwang	PROPN
brj-23824	109	21	et	et	PROPN
brj-23824	109	22	al	al	PROPN
brj-23824	109	23	.	.	PROPN
brj-23824	109	24	2024	2024	NUM
brj-23824	109	25	)	)	PUNCT
brj-23824	109	26	.	.	PUNCT
brj-23824	110	1	thus	thus	ADV
brj-23824	110	2	,	,	PUNCT
brj-23824	110	3	the	the	DET
brj-23824	110	4	f1	f1	NOUN
brj-23824	110	5	-	-	PUNCT
brj-23824	110	6	score	score	NOUN
brj-23824	110	7	,	,	PUNCT
brj-23824	110	8	which	which	PRON
brj-23824	110	9	is	be	AUX
brj-23824	110	10	the	the	DET
brj-23824	110	11	harmonic	harmonic	ADJ
brj-23824	110	12	mean	mean	NOUN
brj-23824	110	13	of	of	ADP
brj-23824	110	14	precision	precision	NOUN
brj-23824	110	15	and	and	CCONJ
brj-23824	110	16	recall	recall	NOUN
brj-23824	110	17	,	,	PUNCT
brj-23824	110	18	is	be	AUX
brj-23824	110	19	more	more	ADV
brj-23824	110	20	appropriate	appropriate	ADJ
brj-23824	110	21	than	than	ADP
brj-23824	110	22	accuracy	accuracy	NOUN
brj-23824	110	23	.	.	PUNCT
brj-23824	111	1	the	the	DET
brj-23824	111	2	precision	precision	NOUN
brj-23824	111	3	,	,	PUNCT
brj-23824	111	4	recall	recall	NOUN
brj-23824	111	5	,	,	PUNCT
brj-23824	111	6	and	and	CCONJ
brj-23824	111	7	f1	f1	ADJ
brj-23824	111	8	-	-	PUNCT
brj-23824	111	9	score	score	NOUN
brj-23824	111	10	metrics	metric	NOUN
brj-23824	111	11	are	be	AUX
brj-23824	111	12	calculated	calculate	VERB
brj-23824	111	13	as	as	SCONJ
brj-23824	111	14	follows	follow	VERB
brj-23824	111	15	.	.	PUNCT
brj-23824	112	1	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
brj-23824	112	2	=	=	SYM
brj-23824	112	3	𝑇𝑃	𝑇𝑃	PROPN
brj-23824	112	4	𝑇𝑃+𝐹𝑃	𝑇𝑃+𝐹𝑃	NUM
brj-23824	112	5	(	(	PUNCT
brj-23824	112	6	3	3	NUM
brj-23824	112	7	)	)	PUNCT
brj-23824	112	8	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
brj-23824	112	9	=	=	SYM
brj-23824	112	10	𝑇𝑃	𝑇𝑃	PROPN
brj-23824	112	11	(	(	PUNCT
brj-23824	112	12	𝑇𝑃+𝐹𝑁	𝑇𝑃+𝐹𝑁	NOUN
brj-23824	112	13	)	)	PUNCT
brj-23824	112	14	(	(	PUNCT
brj-23824	112	15	4	4	X
brj-23824	112	16	)	)	PUNCT
brj-23824	112	17	𝐹1	𝐹1	NOUN
brj-23824	112	18	=	=	SYM
brj-23824	112	19	2	2	NUM
brj-23824	112	20	×	×	NOUN
brj-23824	112	21	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
brj-23824	112	22	×	×	NOUN
brj-23824	112	23	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
brj-23824	112	24	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛+	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛+	PROPN
brj-23824	112	25	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
brj-23824	112	26	(	(	PUNCT
brj-23824	112	27	5	5	X
brj-23824	112	28	)	)	PUNCT
brj-23824	112	29	all	all	DET
brj-23824	112	30	data	datum	NOUN
brj-23824	112	31	processing	processing	NOUN
brj-23824	112	32	and	and	CCONJ
brj-23824	112	33	classification	classification	NOUN
brj-23824	112	34	modeling	modeling	NOUN
brj-23824	112	35	were	be	AUX
brj-23824	112	36	performed	perform	VERB
brj-23824	112	37	using	use	VERB
brj-23824	112	38	the	the	DET
brj-23824	112	39	r	r	NOUN
brj-23824	112	40	statistical	statistical	ADJ
brj-23824	112	41	software	software	NOUN
brj-23824	112	42	(	(	PUNCT
brj-23824	112	43	r	r	NOUN
brj-23824	112	44	core	core	NOUN
brj-23824	112	45	team	team	NOUN
brj-23824	112	46	,	,	PUNCT
brj-23824	112	47	ver	ver	NOUN
brj-23824	112	48	.	.	PROPN
brj-23824	113	1	4.4.1	4.4.1	NUM
brj-23824	113	2	,	,	PUNCT
brj-23824	113	3	auckland	auckland	PROPN
brj-23824	113	4	,	,	PUNCT
brj-23824	113	5	new	new	PROPN
brj-23824	113	6	zealand	zealand	PROPN
brj-23824	113	7	)	)	PUNCT
brj-23824	113	8	.	.	PUNCT
brj-23824	114	1	results	result	NOUN
brj-23824	114	2	and	and	CCONJ
brj-23824	114	3	discussion	discussion	NOUN
brj-23824	114	4	angle	angle	NOUN
brj-23824	114	5	and	and	CCONJ
brj-23824	114	6	step	step	NOUN
brj-23824	114	7	table	table	NOUN
brj-23824	114	8	4	4	NUM
brj-23824	114	9	presents	present	VERB
brj-23824	114	10	the	the	DET
brj-23824	114	11	top	top	ADJ
brj-23824	114	12	three	three	NUM
brj-23824	114	13	intensity	intensity	NOUN
brj-23824	114	14	measurements	measurement	NOUN
brj-23824	114	15	,	,	PUNCT
brj-23824	114	16	along	along	ADP
brj-23824	114	17	with	with	ADP
brj-23824	114	18	corresponding	corresponding	ADJ
brj-23824	114	19	angle	angle	NOUN
brj-23824	114	20	and	and	CCONJ
brj-23824	114	21	step	step	NOUN
brj-23824	114	22	data	datum	NOUN
brj-23824	114	23	,	,	PUNCT
brj-23824	114	24	observed	observe	VERB
brj-23824	114	25	on	on	ADP
brj-23824	114	26	the	the	DET
brj-23824	114	27	top	top	ADJ
brj-23824	114	28	side	side	NOUN
brj-23824	114	29	of	of	ADP
brj-23824	114	30	the	the	DET
brj-23824	114	31	samples	sample	NOUN
brj-23824	114	32	,	,	PUNCT
brj-23824	114	33	while	while	SCONJ
brj-23824	114	34	table	table	NOUN
brj-23824	114	35	5	5	NUM
brj-23824	114	36	provides	provide	VERB
brj-23824	114	37	the	the	DET
brj-23824	114	38	corresponding	corresponding	ADJ
brj-23824	114	39	data	datum	NOUN
brj-23824	114	40	for	for	ADP
brj-23824	114	41	the	the	DET
brj-23824	114	42	bottom	bottom	ADJ
brj-23824	114	43	side	side	NOUN
brj-23824	114	44	.	.	PUNCT
brj-23824	115	1	in	in	ADP
brj-23824	115	2	forensic	forensic	ADJ
brj-23824	115	3	paper	paper	NOUN
brj-23824	115	4	analysis	analysis	NOUN
brj-23824	115	5	,	,	PUNCT
brj-23824	115	6	it	it	PRON
brj-23824	115	7	is	be	AUX
brj-23824	115	8	crucial	crucial	ADJ
brj-23824	115	9	to	to	PART
brj-23824	115	10	note	note	VERB
brj-23824	115	11	that	that	SCONJ
brj-23824	115	12	the	the	DET
brj-23824	115	13	terms	term	NOUN
brj-23824	115	14	"	"	PUNCT
brj-23824	115	15	top	top	ADJ
brj-23824	115	16	"	"	PUNCT
brj-23824	115	17	and	and	CCONJ
brj-23824	115	18	"	"	PUNCT
brj-23824	115	19	bottom	bottom	NOUN
brj-23824	115	20	"	"	PUNCT
brj-23824	115	21	are	be	AUX
brj-23824	115	22	used	use	VERB
brj-23824	115	23	to	to	PART
brj-23824	115	24	describe	describe	VERB
brj-23824	115	25	the	the	DET
brj-23824	115	26	two	two	NUM
brj-23824	115	27	surfaces	surface	NOUN
brj-23824	115	28	of	of	ADP
brj-23824	115	29	the	the	DET
brj-23824	115	30	paper	paper	NOUN
brj-23824	115	31	without	without	ADP
brj-23824	115	32	making	make	VERB
brj-23824	115	33	assumptions	assumption	NOUN
brj-23824	115	34	about	about	ADP
brj-23824	115	35	which	which	DET
brj-23824	115	36	side	side	NOUN
brj-23824	115	37	is	be	AUX
brj-23824	115	38	the	the	DET
brj-23824	115	39	wire	wire	NOUN
brj-23824	115	40	side	side	NOUN
brj-23824	115	41	or	or	CCONJ
brj-23824	115	42	the	the	DET
brj-23824	115	43	felt	feel	VERB
brj-23824	115	44	side	side	NOUN
brj-23824	115	45	.	.	PUNCT
brj-23824	116	1	this	this	PRON
brj-23824	116	2	is	be	AUX
brj-23824	116	3	because	because	SCONJ
brj-23824	116	4	,	,	PUNCT
brj-23824	116	5	during	during	ADP
brj-23824	116	6	forensic	forensic	ADJ
brj-23824	116	7	examination	examination	NOUN
brj-23824	116	8	,	,	PUNCT
brj-23824	116	9	the	the	DET
brj-23824	116	10	exact	exact	ADJ
brj-23824	116	11	orientation	orientation	NOUN
brj-23824	116	12	of	of	ADP
brj-23824	116	13	the	the	DET
brj-23824	116	14	paper	paper	NOUN
brj-23824	116	15	as	as	SCONJ
brj-23824	116	16	it	it	PRON
brj-23824	116	17	was	be	AUX
brj-23824	116	18	produced	produce	VERB
brj-23824	116	19	is	be	AUX
brj-23824	116	20	often	often	ADV
brj-23824	116	21	unknown	unknown	ADJ
brj-23824	116	22	.	.	PUNCT
brj-23824	117	1	moreover	moreover	ADV
brj-23824	117	2	,	,	PUNCT
brj-23824	117	3	for	for	ADP
brj-23824	117	4	papers	paper	NOUN
brj-23824	117	5	produced	produce	VERB
brj-23824	117	6	by	by	ADP
brj-23824	117	7	hybrid	hybrid	ADJ
brj-23824	117	8	formers	former	NOUN
brj-23824	117	9	,	,	PUNCT
brj-23824	117	10	the	the	DET
brj-23824	117	11	distinction	distinction	NOUN
brj-23824	117	12	between	between	ADP
brj-23824	117	13	wire	wire	NOUN
brj-23824	117	14	and	and	CCONJ
brj-23824	117	15	felt	feel	VERB
brj-23824	117	16	sides	side	NOUN
brj-23824	117	17	may	may	AUX
brj-23824	117	18	be	be	AUX
brj-23824	117	19	further	far	ADV
brj-23824	117	20	obscured	obscure	VERB
brj-23824	117	21	,	,	PUNCT
brj-23824	117	22	making	make	VERB
brj-23824	117	23	the	the	DET
brj-23824	117	24	use	use	NOUN
brj-23824	117	25	of	of	ADP
brj-23824	117	26	“	"	PUNCT
brj-23824	117	27	top	top	ADJ
brj-23824	117	28	”	"	PUNCT
brj-23824	117	29	and	and	CCONJ
brj-23824	117	30	“	"	PUNCT
brj-23824	117	31	bottom	bottom	ADJ
brj-23824	117	32	”	"	PUNCT
brj-23824	117	33	even	even	ADV
brj-23824	117	34	more	more	ADV
brj-23824	117	35	appropriate	appropriate	ADJ
brj-23824	117	36	.	.	PUNCT
brj-23824	118	1	angles	angle	NOUN
brj-23824	118	2	of	of	ADP
brj-23824	118	3	180	180	NUM
brj-23824	118	4	°	°	NOUN
brj-23824	118	5	,	,	PUNCT
brj-23824	118	6	which	which	PRON
brj-23824	118	7	align	align	VERB
brj-23824	118	8	with	with	ADP
brj-23824	118	9	the	the	DET
brj-23824	118	10	cross	cross	NOUN
brj-23824	118	11	direction	direction	NOUN
brj-23824	118	12	(	(	PUNCT
brj-23824	118	13	cd	cd	PROPN
brj-23824	118	14	)	)	PUNCT
brj-23824	118	15	of	of	ADP
brj-23824	118	16	the	the	DET
brj-23824	118	17	papermaking	papermaking	NOUN
brj-23824	118	18	process	process	NOUN
brj-23824	118	19	,	,	PUNCT
brj-23824	118	20	are	be	AUX
brj-23824	118	21	likely	likely	ADV
brj-23824	118	22	indicative	indicative	ADJ
brj-23824	118	23	of	of	ADP
brj-23824	118	24	weave	weave	NOUN
brj-23824	118	25	marks	mark	NOUN
brj-23824	118	26	from	from	ADP
brj-23824	118	27	the	the	DET
brj-23824	118	28	forming	form	VERB
brj-23824	118	29	fabric	fabric	NOUN
brj-23824	118	30	.	.	PUNCT
brj-23824	119	1	similarly	similarly	ADV
brj-23824	119	2	,	,	PUNCT
brj-23824	119	3	vertical	vertical	ADJ
brj-23824	119	4	angles	angle	NOUN
brj-23824	119	5	such	such	ADJ
brj-23824	119	6	as	as	ADP
brj-23824	119	7	90	90	NUM
brj-23824	119	8	°	°	NOUN
brj-23824	119	9	,	,	PUNCT
brj-23824	119	10	corresponding	correspond	VERB
brj-23824	119	11	to	to	ADP
brj-23824	119	12	the	the	DET
brj-23824	119	13	machine	machine	NOUN
brj-23824	119	14	direction	direction	NOUN
brj-23824	119	15	(	(	PUNCT
brj-23824	119	16	md	md	PROPN
brj-23824	119	17	)	)	PUNCT
brj-23824	119	18	,	,	PUNCT
brj-23824	119	19	can	can	AUX
brj-23824	119	20	also	also	ADV
brj-23824	119	21	be	be	AUX
brj-23824	119	22	attributed	attribute	VERB
brj-23824	119	23	to	to	ADP
brj-23824	119	24	weave	weave	NOUN
brj-23824	119	25	marks	mark	NOUN
brj-23824	119	26	.	.	PUNCT
brj-23824	120	1	moreover	moreover	ADV
brj-23824	120	2	,	,	PUNCT
brj-23824	120	3	specific	specific	ADJ
brj-23824	120	4	angles	angle	NOUN
brj-23824	120	5	like	like	ADP
brj-23824	120	6	125	125	NUM
brj-23824	120	7	°	°	NOUN
brj-23824	120	8	,	,	PUNCT
brj-23824	120	9	53	53	NUM
brj-23824	120	10	°	°	NOUN
brj-23824	120	11	,	,	PUNCT
brj-23824	120	12	and	and	CCONJ
brj-23824	120	13	various	various	ADJ
brj-23824	120	14	step	step	NOUN
brj-23824	120	15	sizes	size	NOUN
brj-23824	120	16	highlight	highlight	VERB
brj-23824	120	17	distinct	distinct	ADJ
brj-23824	120	18	characteristics	characteristic	NOUN
brj-23824	120	19	that	that	PRON
brj-23824	120	20	vary	vary	VERB
brj-23824	120	21	depending	depend	VERB
brj-23824	120	22	on	on	ADP
brj-23824	120	23	the	the	DET
brj-23824	120	24	manufacturer	manufacturer	NOUN
brj-23824	120	25	or	or	CCONJ
brj-23824	120	26	papermaking	papermaking	NOUN
brj-23824	120	27	process	process	NOUN
brj-23824	120	28	.	.	PUNCT
brj-23824	121	1	these	these	DET
brj-23824	121	2	differing	differ	VERB
brj-23824	121	3	angles	angle	NOUN
brj-23824	121	4	and	and	CCONJ
brj-23824	121	5	step	step	NOUN
brj-23824	121	6	data	datum	NOUN
brj-23824	121	7	reflect	reflect	VERB
brj-23824	121	8	drainage	drainage	NOUN
brj-23824	121	9	marks	mark	NOUN
brj-23824	121	10	,	,	PUNCT
brj-23824	121	11	which	which	PRON
brj-23824	121	12	function	function	VERB
brj-23824	121	13	as	as	ADP
brj-23824	121	14	unique	unique	ADJ
brj-23824	121	15	identifiers	identifier	NOUN
brj-23824	121	16	of	of	ADP
brj-23824	121	17	a	a	DET
brj-23824	121	18	manufacturer	manufacturer	NOUN
brj-23824	121	19	’s	’s	PART
brj-23824	121	20	papermaking	papermaking	NOUN
brj-23824	121	21	machinery	machinery	NOUN
brj-23824	121	22	,	,	PUNCT
brj-23824	121	23	akin	akin	ADJ
brj-23824	121	24	to	to	ADP
brj-23824	121	25	human	human	ADJ
brj-23824	121	26	fingerprints	fingerprint	NOUN
brj-23824	121	27	.	.	PUNCT
brj-23824	122	1	pls	pls	NOUN
brj-23824	122	2	-	-	PUNCT
brj-23824	122	3	da	da	VERB
brj-23824	122	4	the	the	DET
brj-23824	122	5	score	score	NOUN
brj-23824	122	6	plot	plot	NOUN
brj-23824	122	7	(	(	PUNCT
brj-23824	122	8	fig	fig	NOUN
brj-23824	122	9	.	.	PUNCT
brj-23824	123	1	3	3	X
brj-23824	123	2	)	)	PUNCT
brj-23824	123	3	depicts	depict	VERB
brj-23824	123	4	the	the	DET
brj-23824	123	5	first	first	ADJ
brj-23824	123	6	two	two	NUM
brj-23824	123	7	plss	plss	NOUN
brj-23824	123	8	derived	derive	VERB
brj-23824	123	9	from	from	ADP
brj-23824	123	10	the	the	DET
brj-23824	123	11	intensity	intensity	NOUN
brj-23824	123	12	,	,	PUNCT
brj-23824	123	13	step	step	NOUN
brj-23824	123	14	,	,	PUNCT
brj-23824	123	15	and	and	CCONJ
brj-23824	123	16	angle	angle	NOUN
brj-23824	123	17	data	datum	NOUN
brj-23824	123	18	.	.	PUNCT
brj-23824	124	1	peer	peer	NOUN
brj-23824	124	2	-	-	PUNCT
brj-23824	124	3	reviewed	review	VERB
brj-23824	124	4	article__________________bioresources.cnr.ncsu.edu	article__________________bioresources.cnr.ncsu.edu	NOUN
brj-23824	124	5	lee	lee	PROPN
brj-23824	124	6	et	et	PROPN
brj-23824	124	7	al	al	PROPN
brj-23824	124	8	.	.	PROPN
brj-23824	124	9	(	(	PUNCT
brj-23824	124	10	2024	2024	NUM
brj-23824	124	11	)	)	PUNCT
brj-23824	124	12	.	.	PUNCT
brj-23824	125	1	“	"	PUNCT
brj-23824	125	2	wire	wire	NOUN
brj-23824	125	3	mark	mark	NOUN
brj-23824	125	4	as	as	ADP
brj-23824	125	5	forensic	forensic	ADJ
brj-23824	125	6	evidence	evidence	NOUN
brj-23824	125	7	,	,	PUNCT
brj-23824	125	8	”	"	PUNCT
brj-23824	125	9	bioresources	bioresource	NOUN
brj-23824	125	10	19(4	19(4	NUM
brj-23824	125	11	)	)	PUNCT
brj-23824	125	12	,	,	PUNCT
brj-23824	125	13	7591	7591	NUM
brj-23824	125	14	-	-	SYM
brj-23824	125	15	7605	7605	NUM
brj-23824	125	16	.	.	PUNCT
brj-23824	126	1	7598	7598	NUM
brj-23824	126	2	fig	fig	NOUN
brj-23824	126	3	.	.	PUNCT
brj-23824	127	1	3	3	X
brj-23824	127	2	.	.	X
brj-23824	127	3	pls	pls	NOUN
brj-23824	127	4	-	-	PUNCT
brj-23824	127	5	da	da	VERB
brj-23824	127	6	score	score	NOUN
brj-23824	127	7	plot	plot	NOUN
brj-23824	127	8	showing	show	VERB
brj-23824	127	9	the	the	DET
brj-23824	127	10	first	first	ADJ
brj-23824	127	11	two	two	NUM
brj-23824	127	12	plss	plss	NOUN
brj-23824	127	13	derived	derive	VERB
brj-23824	127	14	from	from	ADP
brj-23824	127	15	the	the	DET
brj-23824	127	16	intensity	intensity	NOUN
brj-23824	127	17	,	,	PUNCT
brj-23824	127	18	step	step	NOUN
brj-23824	127	19	,	,	PUNCT
brj-23824	127	20	and	and	CCONJ
brj-23824	127	21	angle	angle	NOUN
brj-23824	127	22	data	datum	NOUN
brj-23824	127	23	as	as	SCONJ
brj-23824	127	24	can	can	AUX
brj-23824	127	25	be	be	AUX
brj-23824	127	26	seen	see	VERB
brj-23824	127	27	,	,	PUNCT
brj-23824	127	28	the	the	DET
brj-23824	127	29	first	first	ADJ
brj-23824	127	30	two	two	NUM
brj-23824	127	31	components	component	NOUN
brj-23824	127	32	of	of	ADP
brj-23824	127	33	pls	pls	INTJ
brj-23824	127	34	accounted	account	VERB
brj-23824	127	35	for	for	ADP
brj-23824	127	36	29.3	29.3	NUM
brj-23824	127	37	%	%	NOUN
brj-23824	127	38	and	and	CCONJ
brj-23824	127	39	4.2	4.2	NUM
brj-23824	127	40	%	%	NOUN
brj-23824	127	41	of	of	ADP
brj-23824	127	42	the	the	DET
brj-23824	127	43	covariance	covariance	NOUN
brj-23824	127	44	in	in	ADP
brj-23824	127	45	the	the	DET
brj-23824	127	46	dataset	dataset	NOUN
brj-23824	127	47	,	,	PUNCT
brj-23824	127	48	respectively	respectively	ADV
brj-23824	127	49	.	.	PUNCT
brj-23824	128	1	the	the	DET
brj-23824	128	2	pls	pls	PROPN
brj-23824	128	3	-	-	PUNCT
brj-23824	128	4	da	da	VERB
brj-23824	128	5	score	score	NOUN
brj-23824	128	6	plots	plot	NOUN
brj-23824	128	7	(	(	PUNCT
brj-23824	128	8	fig	fig	NOUN
brj-23824	128	9	.	.	PUNCT
brj-23824	128	10	3	3	X
brj-23824	128	11	)	)	PUNCT
brj-23824	128	12	also	also	ADV
brj-23824	128	13	show	show	VERB
brj-23824	128	14	that	that	SCONJ
brj-23824	128	15	while	while	SCONJ
brj-23824	128	16	some	some	DET
brj-23824	128	17	samples	sample	NOUN
brj-23824	128	18	were	be	AUX
brj-23824	128	19	grouped	group	VERB
brj-23824	128	20	into	into	ADP
brj-23824	128	21	distinct	distinct	ADJ
brj-23824	128	22	clusters	cluster	NOUN
brj-23824	128	23	,	,	PUNCT
brj-23824	128	24	which	which	PRON
brj-23824	128	25	were	be	AUX
brj-23824	128	26	made	make	VERB
brj-23824	128	27	in	in	ADP
brj-23824	128	28	2013	2013	NUM
brj-23824	128	29	to	to	ADP
brj-23824	128	30	2017	2017	NUM
brj-23824	128	31	,	,	PUNCT
brj-23824	128	32	most	most	ADJ
brj-23824	128	33	of	of	ADP
brj-23824	128	34	the	the	DET
brj-23824	128	35	samples	sample	NOUN
brj-23824	128	36	’	'	PUNCT
brj-23824	128	37	data	datum	NOUN
brj-23824	128	38	points	point	NOUN
brj-23824	128	39	were	be	AUX
brj-23824	128	40	mixed	mix	VERB
brj-23824	128	41	and	and	CCONJ
brj-23824	128	42	formed	form	VERB
brj-23824	128	43	a	a	DET
brj-23824	128	44	large	large	ADJ
brj-23824	128	45	,	,	PUNCT
brj-23824	128	46	unified	unified	ADJ
brj-23824	128	47	cluster	cluster	NOUN
brj-23824	128	48	.	.	PUNCT
brj-23824	129	1	the	the	DET
brj-23824	129	2	pls	pls	PROPN
brj-23824	129	3	-	-	PUNCT
brj-23824	129	4	da	da	PROPN
brj-23824	129	5	is	be	AUX
brj-23824	129	6	a	a	DET
brj-23824	129	7	dimensionality	dimensionality	NOUN
brj-23824	129	8	reduction	reduction	NOUN
brj-23824	129	9	model	model	NOUN
brj-23824	129	10	that	that	PRON
brj-23824	129	11	relies	rely	VERB
brj-23824	129	12	on	on	ADP
brj-23824	129	13	linear	linear	ADJ
brj-23824	129	14	combinations	combination	NOUN
brj-23824	129	15	derived	derive	VERB
brj-23824	129	16	from	from	ADP
brj-23824	129	17	various	various	ADJ
brj-23824	129	18	variables	variable	NOUN
brj-23824	129	19	to	to	PART
brj-23824	129	20	classify	classify	VERB
brj-23824	129	21	each	each	DET
brj-23824	129	22	data	datum	NOUN
brj-23824	129	23	class	class	NOUN
brj-23824	129	24	linearly	linearly	ADV
brj-23824	129	25	.	.	PUNCT
brj-23824	130	1	consequently	consequently	ADV
brj-23824	130	2	,	,	PUNCT
brj-23824	130	3	it	it	PRON
brj-23824	130	4	has	have	VERB
brj-23824	130	5	certain	certain	ADJ
brj-23824	130	6	limitations	limitation	NOUN
brj-23824	130	7	in	in	ADP
brj-23824	130	8	terms	term	NOUN
brj-23824	130	9	of	of	ADP
brj-23824	130	10	clarifying	clarify	VERB
brj-23824	130	11	complex	complex	ADJ
brj-23824	130	12	or	or	CCONJ
brj-23824	130	13	multifaceted	multifaceted	ADJ
brj-23824	130	14	data	datum	NOUN
brj-23824	130	15	structures	structure	NOUN
brj-23824	130	16	.	.	PUNCT
brj-23824	131	1	thus	thus	ADV
brj-23824	131	2	,	,	PUNCT
brj-23824	131	3	it	it	PRON
brj-23824	131	4	is	be	AUX
brj-23824	131	5	crucial	crucial	ADJ
brj-23824	131	6	to	to	PART
brj-23824	131	7	recognize	recognize	VERB
brj-23824	131	8	the	the	DET
brj-23824	131	9	need	need	NOUN
brj-23824	131	10	to	to	PART
brj-23824	131	11	utilize	utilize	VERB
brj-23824	131	12	more	more	ADJ
brj-23824	131	13	robust	robust	ADJ
brj-23824	131	14	models	model	NOUN
brj-23824	131	15	,	,	PUNCT
brj-23824	131	16	e.g.	e.g.	ADV
brj-23824	131	17	,	,	PUNCT
brj-23824	131	18	svm	svm	NOUN
brj-23824	131	19	or	or	CCONJ
brj-23824	131	20	ann	ann	PROPN
brj-23824	131	21	models	model	NOUN
brj-23824	131	22	,	,	PUNCT
brj-23824	131	23	that	that	PRON
brj-23824	131	24	can	can	AUX
brj-23824	131	25	handle	handle	VERB
brj-23824	131	26	nonlinear	nonlinear	ADJ
brj-23824	131	27	classification	classification	NOUN
brj-23824	131	28	.	.	PUNCT
brj-23824	132	1	peer	peer	NOUN
brj-23824	132	2	-	-	PUNCT
brj-23824	132	3	reviewed	review	VERB
brj-23824	132	4	article__________________bioresources.cnr.ncsu.edu	article__________________bioresources.cnr.ncsu.edu	NOUN
brj-23824	132	5	lee	lee	PROPN
brj-23824	132	6	et	et	PROPN
brj-23824	132	7	al	al	PROPN
brj-23824	132	8	.	.	PROPN
brj-23824	132	9	(	(	PUNCT
brj-23824	132	10	2024	2024	NUM
brj-23824	132	11	)	)	PUNCT
brj-23824	132	12	.	.	PUNCT
brj-23824	133	1	“	"	PUNCT
brj-23824	133	2	wire	wire	NOUN
brj-23824	133	3	mark	mark	NOUN
brj-23824	133	4	as	as	ADP
brj-23824	133	5	forensic	forensic	ADJ
brj-23824	133	6	evidence	evidence	NOUN
brj-23824	133	7	,	,	PUNCT
brj-23824	133	8	”	"	PUNCT
brj-23824	133	9	bioresources	bioresource	NOUN
brj-23824	133	10	19(4	19(4	NUM
brj-23824	133	11	)	)	PUNCT
brj-23824	133	12	,	,	PUNCT
brj-23824	133	13	7591	7591	NUM
brj-23824	133	14	-	-	SYM
brj-23824	133	15	7605	7605	NUM
brj-23824	133	16	.	.	PUNCT
brj-23824	134	1	7599	7599	NUM
brj-23824	134	2	table	table	NOUN
brj-23824	134	3	4	4	NUM
brj-23824	134	4	.	.	PUNCT
brj-23824	135	1	intensity	intensity	NOUN
brj-23824	135	2	,	,	PUNCT
brj-23824	135	3	angle	angle	NOUN
brj-23824	135	4	,	,	PUNCT
brj-23824	135	5	and	and	CCONJ
brj-23824	135	6	step	step	VERB
brj-23824	135	7	on	on	ADP
brj-23824	135	8	top	top	ADJ
brj-23824	135	9	side	side	NOUN
brj-23824	135	10	no	no	INTJ
brj-23824	135	11	.	.	PUNCT
brj-23824	136	1	intensity	intensity	NOUN
brj-23824	136	2	1	1	NUM
brj-23824	136	3	angle	angle	NOUN
brj-23824	136	4	1	1	NUM
brj-23824	136	5	,	,	PUNCT
brj-23824	136	6	°	°	NUM
brj-23824	136	7	step	step	NOUN
brj-23824	136	8	1	1	NUM
brj-23824	136	9	,	,	PUNCT
brj-23824	136	10	mm	mm	PROPN
brj-23824	136	11	intensity	intensity	NOUN
brj-23824	136	12	2	2	NUM
brj-23824	136	13	angle	angle	NOUN
brj-23824	136	14	2	2	NUM
brj-23824	136	15	,	,	PUNCT
brj-23824	136	16	°	°	NUM
brj-23824	136	17	step	step	NOUN
brj-23824	136	18	2	2	NUM
brj-23824	136	19	,	,	PUNCT
brj-23824	136	20	mm	mm	PROPN
brj-23824	136	21	intensity	intensity	NOUN
brj-23824	136	22	3	3	NUM
brj-23824	136	23	angle	angle	NOUN
brj-23824	136	24	3	3	NUM
brj-23824	136	25	,	,	PUNCT
brj-23824	136	26	°	°	NUM
brj-23824	136	27	step	step	NOUN
brj-23824	136	28	3	3	NUM
brj-23824	136	29	,	,	PUNCT
brj-23824	136	30	mm	mm	PROPN
brj-23824	136	31	1	1	NUM
brj-23824	136	32	3.5	3.5	NUM
brj-23824	136	33	179.4	179.4	NUM
brj-23824	136	34	1.27	1.27	NUM
brj-23824	136	35	3.3	3.3	NUM
brj-23824	136	36	162.4	162.4	NUM
brj-23824	136	37	2.98	2.98	NUM
brj-23824	136	38	2.5	2.5	NUM
brj-23824	136	39	360.0	360.0	NUM
brj-23824	136	40	1.27	1.27	NUM
brj-23824	136	41	2	2	NUM
brj-23824	136	42	11.4	11.4	NUM
brj-23824	136	43	179.4	179.4	NUM
brj-23824	136	44	1.29	1.29	NUM
brj-23824	136	45	5.9	5.9	NUM
brj-23824	136	46	360.0	360.0	NUM
brj-23824	136	47	1.29	1.29	NUM
brj-23824	136	48	4.2	4.2	NUM
brj-23824	136	49	97.6	97.6	NUM
brj-23824	136	50	2.82	2.82	NUM
brj-23824	136	51	3	3	NUM
brj-23824	136	52	17.4	17.4	NUM
brj-23824	136	53	179.4	179.4	NUM
brj-23824	136	54	1.31	1.31	NUM
brj-23824	136	55	13.0	13.0	NUM
brj-23824	136	56	125.5	125.5	NUM
brj-23824	136	57	1.77	1.77	NUM
brj-23824	136	58	12.5	12.5	NUM
brj-23824	136	59	151.0	151.0	NUM
brj-23824	136	60	1.48	1.48	NUM
brj-23824	136	61	4	4	NUM
brj-23824	136	62	81.9	81.9	NUM
brj-23824	136	63	179.4	179.4	NUM
brj-23824	136	64	1.32	1.32	NUM
brj-23824	136	65	44.5	44.5	NUM
brj-23824	136	66	360.0	360.0	NUM
brj-23824	136	67	1.32	1.32	NUM
brj-23824	136	68	22.7	22.7	NUM
brj-23824	136	69	55.7	55.7	NUM
brj-23824	136	70	1.76	1.76	NUM
brj-23824	136	71	5	5	NUM
brj-23824	136	72	67.5	67.5	NUM
brj-23824	136	73	179.4	179.4	NUM
brj-23824	136	74	1.31	1.31	NUM
brj-23824	136	75	54.3	54.3	NUM
brj-23824	136	76	126.7	126.7	NUM
brj-23824	136	77	1.74	1.74	NUM
brj-23824	136	78	49.2	49.2	NUM
brj-23824	136	79	47.5	47.5	NUM
brj-23824	136	80	1.60	1.60	NUM
brj-23824	136	81	6	6	NUM
brj-23824	136	82	66.9	66.9	NUM
brj-23824	136	83	179.41	179.41	NUM
brj-23824	136	84	1.32	1.32	NUM
brj-23824	136	85	40.7	40.7	NUM
brj-23824	136	86	360.0	360.0	NUM
brj-23824	136	87	1.32	1.32	NUM
brj-23824	136	88	15.3	15.3	NUM
brj-23824	136	89	128.9	128.9	NUM
brj-23824	136	90	1.75	1.75	NUM
brj-23824	136	91	7	7	NUM
brj-23824	136	92	37.8	37.8	NUM
brj-23824	136	93	179.4	179.4	NUM
brj-23824	136	94	1.31	1.31	NUM
brj-23824	136	95	14.6	14.6	NUM
brj-23824	136	96	360.0	360.0	NUM
brj-23824	136	97	1.31	1.31	NUM
brj-23824	136	98	14.2	14.2	NUM
brj-23824	136	99	52.7	52.7	NUM
brj-23824	136	100	1.73	1.73	NUM
brj-23824	136	101	8	8	NUM
brj-23824	136	102	28.3	28.3	NUM
brj-23824	136	103	179.4	179.4	NUM
brj-23824	136	104	1.31	1.31	NUM
brj-23824	136	105	15.3	15.3	NUM
brj-23824	136	106	360.0	360.0	NUM
brj-23824	136	107	1.31	1.31	NUM
brj-23824	136	108	9.8	9.8	NUM
brj-23824	136	109	53.3	53.3	NUM
brj-23824	136	110	1.74	1.74	NUM
brj-23824	136	111	9	9	NUM
brj-23824	136	112	84.3	84.3	NUM
brj-23824	136	113	179.4	179.4	NUM
brj-23824	136	114	1.31	1.31	NUM
brj-23824	136	115	37.5	37.5	NUM
brj-23824	136	116	360.0	360.0	NUM
brj-23824	136	117	1.31	1.31	NUM
brj-23824	136	118	22.8	22.8	NUM
brj-23824	136	119	53.8	53.8	NUM
brj-23824	136	120	1.72	1.72	NUM
brj-23824	136	121	10	10	NUM
brj-23824	136	122	31.1	31.1	NUM
brj-23824	136	123	179.4	179.4	NUM
brj-23824	136	124	1.32	1.32	NUM
brj-23824	136	125	25.9	25.9	NUM
brj-23824	136	126	48.2	48.2	NUM
brj-23824	136	127	1.67	1.67	NUM
brj-23824	136	128	19.7	19.7	NUM
brj-23824	136	129	360.0	360.0	NUM
brj-23824	136	130	1.32	1.32	NUM
brj-23824	136	131	11	11	NUM
brj-23824	136	132	24.4	24.4	NUM
brj-23824	136	133	179.4	179.4	NUM
brj-23824	136	134	1.32	1.32	NUM
brj-23824	136	135	13.9	13.9	NUM
brj-23824	136	136	360.0	360.0	NUM
brj-23824	136	137	1.32	1.32	NUM
brj-23824	136	138	4.0	4.0	NUM
brj-23824	136	139	78.4	78.4	NUM
brj-23824	136	140	3.22	3.22	NUM
brj-23824	136	141	notes	note	NOUN
brj-23824	136	142	:	:	PUNCT
brj-23824	137	1	1	1	NUM
brj-23824	137	2	:	:	PUNCT
brj-23824	137	3	m201311	m201311	NOUN
brj-23824	137	4	;	;	PUNCT
brj-23824	137	5	2	2	NUM
brj-23824	137	6	:	:	PUNCT
brj-23824	137	7	m201511	m201511	NOUN
brj-23824	137	8	;	;	PUNCT
brj-23824	137	9	3	3	NUM
brj-23824	137	10	:	:	PUNCT
brj-23824	137	11	m201701	m201701	ADJ
brj-23824	137	12	;	;	PUNCT
brj-23824	137	13	4	4	NUM
brj-23824	137	14	:	:	PUNCT
brj-23824	137	15	m201707	m201707	NOUN
brj-23824	137	16	;	;	PUNCT
brj-23824	137	17	5	5	NUM
brj-23824	137	18	:	:	PUNCT
brj-23824	137	19	m201806	m201806	NOUN
brj-23824	137	20	;	;	PUNCT
brj-23824	137	21	6	6	NUM
brj-23824	137	22	:	:	PUNCT
brj-23824	137	23	m201907	m201907	PROPN
brj-23824	137	24	;	;	PUNCT
brj-23824	137	25	7	7	NUM
brj-23824	137	26	:	:	PUNCT
brj-23824	137	27	m202008	m202008	NOUN
brj-23824	137	28	;	;	PUNCT
brj-23824	137	29	8	8	NUM
brj-23824	137	30	:	:	PUNCT
brj-23824	137	31	m202105	m202105	NUM
brj-23824	137	32	;	;	PUNCT
brj-23824	137	33	9	9	NUM
brj-23824	137	34	:	:	PUNCT
brj-23824	137	35	m202206	m202206	NOUN
brj-23824	137	36	;	;	PUNCT
brj-23824	137	37	10	10	NUM
brj-23824	137	38	:	:	PUNCT
brj-23824	137	39	m202305	m202305	NOUN
brj-23824	137	40	;	;	PUNCT
brj-23824	137	41	11	11	NUM
brj-23824	137	42	:	:	PUNCT
brj-23824	137	43	m202404	m202404	NOUN
brj-23824	137	44	table	table	NOUN
brj-23824	137	45	5	5	NUM
brj-23824	137	46	.	.	PUNCT
brj-23824	137	47	intensity	intensity	NOUN
brj-23824	137	48	,	,	PUNCT
brj-23824	137	49	angle	angle	NOUN
brj-23824	137	50	and	and	CCONJ
brj-23824	137	51	step	step	NOUN
brj-23824	137	52	on	on	ADP
brj-23824	137	53	bottom	bottom	ADJ
brj-23824	137	54	side	side	NOUN
brj-23824	137	55	no	no	INTJ
brj-23824	137	56	.	.	PUNCT
brj-23824	138	1	intensity	intensity	NOUN
brj-23824	138	2	1	1	NUM
brj-23824	138	3	angle	angle	NOUN
brj-23824	138	4	1	1	NUM
brj-23824	138	5	,	,	PUNCT
brj-23824	138	6	°	°	NUM
brj-23824	138	7	step	step	NOUN
brj-23824	138	8	1	1	NUM
brj-23824	138	9	,	,	PUNCT
brj-23824	138	10	mm	mm	PROPN
brj-23824	138	11	intensity	intensity	NOUN
brj-23824	138	12	2	2	NUM
brj-23824	138	13	angle	angle	NOUN
brj-23824	138	14	2	2	NUM
brj-23824	138	15	,	,	PUNCT
brj-23824	138	16	°	°	NUM
brj-23824	138	17	step	step	NOUN
brj-23824	138	18	2	2	NUM
brj-23824	138	19	,	,	PUNCT
brj-23824	138	20	mm	mm	PROPN
brj-23824	138	21	intensity	intensity	NOUN
brj-23824	138	22	3	3	NUM
brj-23824	138	23	angle	angle	NOUN
brj-23824	138	24	3	3	NUM
brj-23824	138	25	,	,	PUNCT
brj-23824	138	26	°	°	NUM
brj-23824	138	27	step	step	NOUN
brj-23824	138	28	3	3	NUM
brj-23824	138	29	,	,	PUNCT
brj-23824	138	30	mm	mm	PROPN
brj-23824	138	31	1	1	NUM
brj-23824	138	32	4.8	4.8	NUM
brj-23824	138	33	179.4	179.4	NUM
brj-23824	138	34	1.27	1.27	NUM
brj-23824	138	35	4.5	4.5	NUM
brj-23824	138	36	162.9	162.9	NUM
brj-23824	138	37	3.14	3.14	NUM
brj-23824	138	38	3.7	3.7	NUM
brj-23824	138	39	360.0	360.0	NUM
brj-23824	138	40	1.27	1.27	NUM
brj-23824	138	41	2	2	NUM
brj-23824	138	42	27.6	27.6	NUM
brj-23824	138	43	179.4	179.4	NUM
brj-23824	138	44	1.28	1.28	NUM
brj-23824	138	45	11.3	11.3	NUM
brj-23824	138	46	360.0	360.0	NUM
brj-23824	138	47	1.28	1.28	NUM
brj-23824	138	48	3.4	3.4	NUM
brj-23824	138	49	17.2	17.2	NUM
brj-23824	138	50	2.91	2.91	NUM
brj-23824	138	51	3	3	NUM
brj-23824	138	52	22.2	22.2	NUM
brj-23824	138	53	179.4	179.4	NUM
brj-23824	138	54	1.31	1.31	NUM
brj-23824	138	55	11.6	11.6	NUM
brj-23824	138	56	125.5	125.5	NUM
brj-23824	138	57	1.77	1.77	NUM
brj-23824	138	58	8.3	8.3	NUM
brj-23824	138	59	46.5	46.5	NUM
brj-23824	138	60	1.57	1.57	NUM
brj-23824	138	61	4	4	NUM
brj-23824	138	62	54.9	54.9	NUM
brj-23824	138	63	179.4	179.4	NUM
brj-23824	138	64	1.29	1.29	NUM
brj-23824	138	65	17.5	17.5	NUM
brj-23824	138	66	360.0	360.0	NUM
brj-23824	138	67	1.29	1.29	NUM
brj-23824	138	68	14.5	14.5	NUM
brj-23824	138	69	49.2	49.2	NUM
brj-23824	138	70	1.64	1.64	NUM
brj-23824	138	71	5	5	NUM
brj-23824	138	72	60.3	60.3	NUM
brj-23824	138	73	179.4	179.4	NUM
brj-23824	138	74	1.31	1.31	NUM
brj-23824	138	75	39.9	39.9	NUM
brj-23824	138	76	100.2	100.2	NUM
brj-23824	138	77	1.70	1.70	NUM
brj-23824	138	78	39.5	39.5	NUM
brj-23824	138	79	73.6	73.6	NUM
brj-23824	138	80	1.66	1.66	NUM
brj-23824	138	81	6	6	NUM
brj-23824	138	82	60.3	60.3	NUM
brj-23824	138	83	179.4	179.4	NUM
brj-23824	138	84	1.32	1.32	NUM
brj-23824	138	85	35.7	35.7	NUM
brj-23824	138	86	360.0	360.0	NUM
brj-23824	138	87	1.32	1.32	NUM
brj-23824	138	88	14.7	14.7	NUM
brj-23824	138	89	48.2	48.2	NUM
brj-23824	138	90	1.67	1.67	NUM
brj-23824	138	91	7	7	NUM
brj-23824	138	92	60.4	60.4	NUM
brj-23824	138	93	179.4	179.4	NUM
brj-23824	138	94	1.32	1.32	NUM
brj-23824	138	95	36.7	36.7	NUM
brj-23824	138	96	128.9	128.9	NUM
brj-23824	138	97	1.75	1.75	NUM
brj-23824	138	98	30.6	30.6	NUM
brj-23824	138	99	48.2	48.2	NUM
brj-23824	138	100	1.67	1.67	NUM
brj-23824	138	101	8	8	NUM
brj-23824	138	102	35.4	35.4	NUM
brj-23824	138	103	179.4	179.4	NUM
brj-23824	138	104	1.31	1.31	NUM
brj-23824	138	105	14.3	14.3	NUM
brj-23824	138	106	131.4	131.4	NUM
brj-23824	138	107	1.63	1.63	NUM
brj-23824	138	108	10.4	10.4	NUM
brj-23824	138	109	360.0	360.0	NUM
brj-23824	138	110	1.31	1.31	NUM
brj-23824	138	111	9	9	NUM
brj-23824	138	112	46.7	46.7	NUM
brj-23824	138	113	179.4	179.4	NUM
brj-23824	138	114	1.32	1.32	NUM
brj-23824	138	115	25.2	25.2	NUM
brj-23824	138	116	360.0	360.0	NUM
brj-23824	138	117	1.32	1.32	NUM
brj-23824	138	118	14.1	14.1	NUM
brj-23824	138	119	132.0	132.0	NUM
brj-23824	138	120	1.56	1.56	NUM
brj-23824	138	121	10	10	NUM
brj-23824	138	122	32.4	32.4	NUM
brj-23824	138	123	179.4	179.4	NUM
brj-23824	138	124	1.32	1.32	NUM
brj-23824	138	125	22.1	22.1	NUM
brj-23824	138	126	360.0	360.0	NUM
brj-23824	138	127	1.32	1.32	NUM
brj-23824	138	128	15.4	15.4	NUM
brj-23824	138	129	48.2	48.2	NUM
brj-23824	138	130	1.67	1.67	NUM
brj-23824	138	131	11	11	NUM
brj-23824	138	132	17.7	17.7	NUM
brj-23824	138	133	179.4	179.4	NUM
brj-23824	138	134	1.33	1.33	NUM
brj-23824	138	135	10.6	10.6	NUM
brj-23824	138	136	360.0	360.0	NUM
brj-23824	138	137	1.32	1.32	NUM
brj-23824	138	138	6.0	6.0	NUM
brj-23824	138	139	77.7	77.7	NUM
brj-23824	138	140	1.67	1.67	NUM
brj-23824	138	141	notes	note	NOUN
brj-23824	138	142	:	:	PUNCT
brj-23824	139	1	1	1	NUM
brj-23824	139	2	:	:	PUNCT
brj-23824	139	3	m201311	m201311	NOUN
brj-23824	139	4	;	;	PUNCT
brj-23824	139	5	2	2	NUM
brj-23824	139	6	:	:	PUNCT
brj-23824	139	7	m201511	m201511	NOUN
brj-23824	139	8	;	;	PUNCT
brj-23824	139	9	3	3	NUM
brj-23824	139	10	:	:	PUNCT
brj-23824	139	11	m201701	m201701	ADJ
brj-23824	139	12	;	;	PUNCT
brj-23824	139	13	4	4	NUM
brj-23824	139	14	:	:	PUNCT
brj-23824	139	15	m201707	m201707	NOUN
brj-23824	139	16	;	;	PUNCT
brj-23824	139	17	5	5	NUM
brj-23824	139	18	:	:	PUNCT
brj-23824	139	19	m201806	m201806	NOUN
brj-23824	139	20	;	;	PUNCT
brj-23824	139	21	6	6	NUM
brj-23824	139	22	:	:	PUNCT
brj-23824	139	23	m201907	m201907	PROPN
brj-23824	139	24	;	;	PUNCT
brj-23824	139	25	7	7	NUM
brj-23824	139	26	:	:	PUNCT
brj-23824	139	27	m202008	m202008	NOUN
brj-23824	139	28	;	;	PUNCT
brj-23824	139	29	8	8	NUM
brj-23824	139	30	:	:	PUNCT
brj-23824	139	31	m202105	m202105	NUM
brj-23824	139	32	;	;	PUNCT
brj-23824	139	33	9	9	NUM
brj-23824	139	34	:	:	PUNCT
brj-23824	139	35	m202206	m202206	NOUN
brj-23824	139	36	;	;	PUNCT
brj-23824	139	37	10	10	NUM
brj-23824	139	38	:	:	PUNCT
brj-23824	139	39	m202305	m202305	NOUN
brj-23824	139	40	;	;	PUNCT
brj-23824	139	41	11	11	NUM
brj-23824	139	42	:	:	PUNCT
brj-23824	139	43	m202404	m202404	NOUN
brj-23824	139	44	peer	peer	NOUN
brj-23824	139	45	-	-	PUNCT
brj-23824	139	46	reviewed	review	VERB
brj-23824	139	47	article__________________bioresources.cnr.ncsu.edu	article__________________bioresources.cnr.ncsu.edu	NOUN
brj-23824	139	48	lee	lee	PROPN
brj-23824	139	49	et	et	PROPN
brj-23824	139	50	al	al	PROPN
brj-23824	139	51	.	.	PROPN
brj-23824	139	52	(	(	PUNCT
brj-23824	139	53	2024	2024	NUM
brj-23824	139	54	)	)	PUNCT
brj-23824	139	55	.	.	PUNCT
brj-23824	140	1	“	"	PUNCT
brj-23824	140	2	wire	wire	NOUN
brj-23824	140	3	mark	mark	NOUN
brj-23824	140	4	as	as	ADP
brj-23824	140	5	forensic	forensic	ADJ
brj-23824	140	6	evidence	evidence	NOUN
brj-23824	140	7	,	,	PUNCT
brj-23824	140	8	”	"	PUNCT
brj-23824	140	9	bioresources	bioresource	NOUN
brj-23824	140	10	19(4	19(4	NUM
brj-23824	140	11	)	)	PUNCT
brj-23824	140	12	,	,	PUNCT
brj-23824	140	13	7591	7591	NUM
brj-23824	140	14	-	-	SYM
brj-23824	140	15	7605	7605	NUM
brj-23824	140	16	.	.	PUNCT
brj-23824	141	1	7600	7600	NUM
brj-23824	141	2	model	model	NOUN
brj-23824	141	3	comparison	comparison	NOUN
brj-23824	141	4	the	the	DET
brj-23824	141	5	classification	classification	NOUN
brj-23824	141	6	performance	performance	NOUN
brj-23824	141	7	of	of	ADP
brj-23824	141	8	the	the	DET
brj-23824	141	9	pls	pls	PROPN
brj-23824	141	10	-	-	PUNCT
brj-23824	141	11	da	da	ADJ
brj-23824	141	12	,	,	PUNCT
brj-23824	141	13	svm	svm	ADJ
brj-23824	141	14	,	,	PUNCT
brj-23824	141	15	and	and	CCONJ
brj-23824	141	16	ann	ann	PROPN
brj-23824	141	17	models	model	NOUN
brj-23824	141	18	is	be	AUX
brj-23824	141	19	compared	compare	VERB
brj-23824	141	20	in	in	ADP
brj-23824	141	21	table	table	NOUN
brj-23824	141	22	6	6	NUM
brj-23824	141	23	.	.	PUNCT
brj-23824	142	1	as	as	SCONJ
brj-23824	142	2	mentioned	mention	VERB
brj-23824	142	3	previously	previously	ADV
brj-23824	142	4	,	,	PUNCT
brj-23824	142	5	the	the	DET
brj-23824	142	6	pls	pls	PROPN
brj-23824	142	7	-	-	PUNCT
brj-23824	142	8	da	da	PROPN
brj-23824	142	9	is	be	AUX
brj-23824	142	10	a	a	DET
brj-23824	142	11	linear	linear	ADJ
brj-23824	142	12	model	model	NOUN
brj-23824	142	13	,	,	PUNCT
brj-23824	142	14	and	and	CCONJ
brj-23824	142	15	the	the	DET
brj-23824	142	16	svm	svm	PROPN
brj-23824	142	17	and	and	CCONJ
brj-23824	142	18	ann	ann	PROPN
brj-23824	142	19	methods	method	NOUN
brj-23824	142	20	are	be	AUX
brj-23824	142	21	nonlinear	nonlinear	ADJ
brj-23824	142	22	models	model	NOUN
brj-23824	142	23	.	.	PUNCT
brj-23824	143	1	these	these	DET
brj-23824	143	2	three	three	NUM
brj-23824	143	3	models	model	NOUN
brj-23824	143	4	achieved	achieve	VERB
brj-23824	143	5	f1	f1	NOUN
brj-23824	143	6	-	-	PUNCT
brj-23824	143	7	scores	score	NOUN
brj-23824	143	8	of	of	ADP
brj-23824	143	9	0.903	0.903	NUM
brj-23824	143	10	,	,	PUNCT
brj-23824	143	11	0.952	0.952	NUM
brj-23824	143	12	,	,	PUNCT
brj-23824	143	13	and	and	CCONJ
brj-23824	143	14	0.931	0.931	NUM
brj-23824	143	15	,	,	PUNCT
brj-23824	143	16	respectively	respectively	ADV
brj-23824	143	17	.	.	PUNCT
brj-23824	144	1	compared	compare	VERB
brj-23824	144	2	to	to	ADP
brj-23824	144	3	the	the	DET
brj-23824	144	4	pls	pls	PROPN
brj-23824	144	5	-	-	PUNCT
brj-23824	144	6	da	da	NOUN
brj-23824	144	7	model	model	NOUN
brj-23824	144	8	,	,	PUNCT
brj-23824	144	9	the	the	DET
brj-23824	144	10	svm	svm	PROPN
brj-23824	144	11	and	and	CCONJ
brj-23824	144	12	ann	ann	PROPN
brj-23824	144	13	models	model	NOUN
brj-23824	144	14	demonstrated	demonstrate	VERB
brj-23824	144	15	superior	superior	ADJ
brj-23824	144	16	classification	classification	NOUN
brj-23824	144	17	performance	performance	NOUN
brj-23824	144	18	.	.	PUNCT
brj-23824	145	1	for	for	ADP
brj-23824	145	2	optimal	optimal	ADJ
brj-23824	145	3	classification	classification	NOUN
brj-23824	145	4	on	on	ADP
brj-23824	145	5	the	the	DET
brj-23824	145	6	experimental	experimental	ADJ
brj-23824	145	7	dataset	dataset	NOUN
brj-23824	145	8	,	,	PUNCT
brj-23824	145	9	nonlinear	nonlinear	ADJ
brj-23824	145	10	models	model	NOUN
brj-23824	145	11	,	,	PUNCT
brj-23824	145	12	e.g.	e.g.	ADV
brj-23824	145	13	,	,	PUNCT
brj-23824	145	14	svms	svms	NOUN
brj-23824	145	15	or	or	CCONJ
brj-23824	145	16	anns	ann	NOUN
brj-23824	145	17	,	,	PUNCT
brj-23824	145	18	are	be	AUX
brj-23824	145	19	required	require	VERB
brj-23824	145	20	;	;	PUNCT
brj-23824	145	21	however	however	ADV
brj-23824	145	22	,	,	PUNCT
brj-23824	145	23	these	these	DET
brj-23824	145	24	models	model	NOUN
brj-23824	145	25	have	have	VERB
brj-23824	145	26	higher	high	ADJ
brj-23824	145	27	computational	computational	ADJ
brj-23824	145	28	costs	cost	NOUN
brj-23824	145	29	than	than	ADP
brj-23824	145	30	pls	pls	NOUN
brj-23824	145	31	-	-	PUNCT
brj-23824	145	32	da	da	NOUN
brj-23824	145	33	models	model	NOUN
brj-23824	145	34	.	.	PUNCT
brj-23824	146	1	table	table	NOUN
brj-23824	146	2	6	6	NUM
brj-23824	146	3	.	.	PUNCT
brj-23824	147	1	model	model	NOUN
brj-23824	147	2	comparison	comparison	NOUN
brj-23824	147	3	for	for	ADP
brj-23824	147	4	dating	date	VERB
brj-23824	147	5	document	document	NOUN
brj-23824	147	6	paper	paper	NOUN
brj-23824	147	7	with	with	ADP
brj-23824	147	8	all	all	DET
brj-23824	147	9	variables	variable	NOUN
brj-23824	147	10	model	model	VERB
brj-23824	147	11	optimal	optimal	ADJ
brj-23824	147	12	parameter	parameter	NOUN
brj-23824	147	13	f1	f1	NOUN
brj-23824	147	14	-	-	PUNCT
brj-23824	147	15	score	score	NOUN
brj-23824	147	16	pls	pls	NOUN
brj-23824	147	17	-	-	PUNCT
brj-23824	147	18	da	da	VERB
brj-23824	147	19	pls	pls	NOUN
brj-23824	147	20	components	component	NOUN
brj-23824	147	21	=	=	SYM
brj-23824	147	22	10	10	NUM
brj-23824	147	23	0.903	0.903	NUM
brj-23824	147	24	svm	svm	PROPN
brj-23824	147	25	gamma	gamma	NOUN
brj-23824	147	26	=	=	PROPN
brj-23824	147	27	0.01	0.01	NUM
brj-23824	147	28	,	,	PUNCT
brj-23824	147	29	cost	cost	NOUN
brj-23824	147	30	=	=	NOUN
brj-23824	147	31	22	22	NUM
brj-23824	147	32	0.952	0.952	NUM
brj-23824	147	33	ann	ann	PROPN
brj-23824	147	34	hl_size	hl_size	NOUN
brj-23824	147	35	=	=	SYM
brj-23824	147	36	(	(	PUNCT
brj-23824	147	37	128	128	NUM
brj-23824	147	38	,	,	PUNCT
brj-23824	147	39	64	64	NUM
brj-23824	147	40	)	)	PUNCT
brj-23824	147	41	,	,	PUNCT
brj-23824	147	42	lr	lr	X
brj-23824	147	43	=	=	SYM
brj-23824	147	44	0.0001	0.0001	NUM
brj-23824	147	45	,	,	PUNCT
brj-23824	147	46	optimizer	optimizer	NOUN
brj-23824	147	47	=	=	SYM
brj-23824	147	48	adam	adam	NOUN
brj-23824	147	49	0.931	0.931	NUM
brj-23824	147	50	note	note	NOUN
brj-23824	147	51	:	:	PUNCT
brj-23824	147	52	hl_size	hl_size	NOUN
brj-23824	147	53	:	:	PUNCT
brj-23824	147	54	hidden	hidden	ADJ
brj-23824	147	55	layer	layer	NOUN
brj-23824	147	56	sizes	size	NOUN
brj-23824	147	57	;	;	PUNCT
brj-23824	147	58	lr	lr	NOUN
brj-23824	147	59	:	:	PUNCT
brj-23824	147	60	learning	learn	VERB
brj-23824	147	61	rate	rate	NOUN
brj-23824	147	62	vip	vip	PROPN
brj-23824	147	63	score	score	VERB
brj-23824	147	64	the	the	DET
brj-23824	147	65	analysis	analysis	NOUN
brj-23824	147	66	of	of	ADP
brj-23824	147	67	the	the	DET
brj-23824	147	68	pls	pls	PROPN
brj-23824	147	69	-	-	PUNCT
brj-23824	147	70	da	da	NOUN
brj-23824	147	71	model	model	NOUN
brj-23824	147	72	made	make	VERB
brj-23824	147	73	it	it	PRON
brj-23824	147	74	possible	possible	ADJ
brj-23824	147	75	to	to	PART
brj-23824	147	76	identify	identify	VERB
brj-23824	147	77	the	the	DET
brj-23824	147	78	relevant	relevant	ADJ
brj-23824	147	79	and	and	CCONJ
brj-23824	147	80	crucial	crucial	ADJ
brj-23824	147	81	features	feature	NOUN
brj-23824	147	82	for	for	ADP
brj-23824	147	83	class	class	NOUN
brj-23824	147	84	differentiation	differentiation	NOUN
brj-23824	147	85	.	.	PUNCT
brj-23824	148	1	however	however	ADV
brj-23824	148	2	,	,	PUNCT
brj-23824	148	3	when	when	SCONJ
brj-23824	148	4	handling	handle	VERB
brj-23824	148	5	a	a	DET
brj-23824	148	6	large	large	ADJ
brj-23824	148	7	number	number	NOUN
brj-23824	148	8	of	of	ADP
brj-23824	148	9	initially	initially	ADV
brj-23824	148	10	detected	detect	VERB
brj-23824	148	11	features	feature	NOUN
brj-23824	148	12	,	,	PUNCT
brj-23824	148	13	there	there	PRON
brj-23824	148	14	may	may	AUX
brj-23824	148	15	be	be	AUX
brj-23824	148	16	numerous	numerous	ADJ
brj-23824	148	17	sources	source	NOUN
brj-23824	148	18	of	of	ADP
brj-23824	148	19	orthogonal	orthogonal	ADJ
brj-23824	148	20	noise	noise	NOUN
brj-23824	148	21	or	or	CCONJ
brj-23824	148	22	insignificant	insignificant	ADJ
brj-23824	148	23	features	feature	NOUN
brj-23824	148	24	that	that	PRON
brj-23824	148	25	are	be	AUX
brj-23824	148	26	irrelevant	irrelevant	ADJ
brj-23824	148	27	to	to	ADP
brj-23824	148	28	the	the	DET
brj-23824	148	29	classification	classification	NOUN
brj-23824	148	30	task	task	NOUN
brj-23824	148	31	.	.	PUNCT
brj-23824	149	1	thus	thus	ADV
brj-23824	149	2	,	,	PUNCT
brj-23824	149	3	applying	apply	VERB
brj-23824	149	4	the	the	DET
brj-23824	149	5	classification	classification	NOUN
brj-23824	149	6	model	model	NOUN
brj-23824	149	7	directly	directly	ADV
brj-23824	149	8	to	to	ADP
brj-23824	149	9	the	the	DET
brj-23824	149	10	original	original	ADJ
brj-23824	149	11	data	datum	NOUN
brj-23824	149	12	may	may	AUX
brj-23824	149	13	lead	lead	VERB
brj-23824	149	14	to	to	ADP
brj-23824	149	15	distortion	distortion	NOUN
brj-23824	149	16	because	because	SCONJ
brj-23824	149	17	it	it	PRON
brj-23824	149	18	could	could	AUX
brj-23824	149	19	be	be	AUX
brj-23824	149	20	affected	affect	VERB
brj-23824	149	21	by	by	ADP
brj-23824	149	22	various	various	ADJ
brj-23824	149	23	types	type	NOUN
brj-23824	149	24	of	of	ADP
brj-23824	149	25	noise	noise	NOUN
brj-23824	149	26	and	and	CCONJ
brj-23824	149	27	irrelevant	irrelevant	ADJ
brj-23824	149	28	features	feature	NOUN
brj-23824	149	29	,	,	PUNCT
brj-23824	149	30	thereby	thereby	ADV
brj-23824	149	31	causing	cause	VERB
brj-23824	149	32	rotation	rotation	NOUN
brj-23824	149	33	in	in	ADP
brj-23824	149	34	the	the	DET
brj-23824	149	35	original	original	ADJ
brj-23824	149	36	variable	variable	ADJ
brj-23824	149	37	space	space	NOUN
brj-23824	149	38	.	.	PUNCT
brj-23824	150	1	in	in	ADP
brj-23824	150	2	such	such	ADJ
brj-23824	150	3	cases	case	NOUN
brj-23824	150	4	,	,	PUNCT
brj-23824	150	5	the	the	DET
brj-23824	150	6	pearson	pearson	PROPN
brj-23824	150	7	correlation	correlation	NOUN
brj-23824	150	8	coefficient	coefficient	NOUN
brj-23824	150	9	(	(	PUNCT
brj-23824	150	10	p(corr	p(corr	ADJ
brj-23824	150	11	)	)	PUNCT
brj-23824	150	12	)	)	PUNCT
brj-23824	150	13	values	value	NOUN
brj-23824	150	14	of	of	ADP
brj-23824	150	15	each	each	DET
brj-23824	150	16	variable	variable	NOUN
brj-23824	150	17	with	with	ADP
brj-23824	150	18	the	the	DET
brj-23824	150	19	model	model	NOUN
brj-23824	150	20	components	component	NOUN
brj-23824	150	21	may	may	AUX
brj-23824	150	22	also	also	ADV
brj-23824	150	23	be	be	AUX
brj-23824	150	24	influenced	influence	VERB
brj-23824	150	25	.	.	PUNCT
brj-23824	151	1	as	as	ADP
brj-23824	151	2	a	a	DET
brj-23824	151	3	result	result	NOUN
brj-23824	151	4	,	,	PUNCT
brj-23824	151	5	some	some	DET
brj-23824	151	6	irrelevant	irrelevant	ADJ
brj-23824	151	7	features	feature	NOUN
brj-23824	151	8	could	could	AUX
brj-23824	151	9	appear	appear	VERB
brj-23824	151	10	to	to	PART
brj-23824	151	11	be	be	AUX
brj-23824	151	12	relatively	relatively	ADV
brj-23824	151	13	important	important	ADJ
brj-23824	151	14	for	for	ADP
brj-23824	151	15	class	class	NOUN
brj-23824	151	16	separation	separation	NOUN
brj-23824	151	17	,	,	PUNCT
brj-23824	151	18	as	as	SCONJ
brj-23824	151	19	determined	determine	VERB
brj-23824	151	20	by	by	ADP
brj-23824	151	21	the	the	DET
brj-23824	151	22	vip	vip	NOUN
brj-23824	151	23	(	(	PUNCT
brj-23824	151	24	favilla	favilla	NOUN
brj-23824	151	25	et	et	PROPN
brj-23824	151	26	al	al	PROPN
brj-23824	151	27	.	.	PROPN
brj-23824	151	28	2013	2013	NUM
brj-23824	151	29	;	;	PUNCT
brj-23824	151	30	galindo‐prieto	galindo‐prieto	PROPN
brj-23824	151	31	et	et	PROPN
brj-23824	151	32	al	al	PROPN
brj-23824	151	33	.	.	PROPN
brj-23824	151	34	2014	2014	NUM
brj-23824	151	35	)	)	PUNCT
brj-23824	151	36	.	.	PUNCT
brj-23824	152	1	thus	thus	ADV
brj-23824	152	2	,	,	PUNCT
brj-23824	152	3	it	it	PRON
brj-23824	152	4	is	be	AUX
brj-23824	152	5	crucial	crucial	ADJ
brj-23824	152	6	to	to	PART
brj-23824	152	7	select	select	VERB
brj-23824	152	8	informative	informative	ADJ
brj-23824	152	9	features	feature	NOUN
brj-23824	152	10	carefully	carefully	ADV
brj-23824	152	11	when	when	SCONJ
brj-23824	152	12	constructing	construct	VERB
brj-23824	152	13	a	a	DET
brj-23824	152	14	model	model	NOUN
brj-23824	152	15	to	to	PART
brj-23824	152	16	differentiate	differentiate	VERB
brj-23824	152	17	between	between	ADP
brj-23824	152	18	different	different	ADJ
brj-23824	152	19	sample	sample	NOUN
brj-23824	152	20	subpopulations	subpopulation	NOUN
brj-23824	152	21	(	(	PUNCT
brj-23824	152	22	xu	xu	INTJ
brj-23824	152	23	et	et	PROPN
brj-23824	152	24	al	al	PROPN
brj-23824	152	25	.	.	PROPN
brj-23824	152	26	2024	2024	NUM
brj-23824	152	27	)	)	PUNCT
brj-23824	152	28	.	.	PUNCT
brj-23824	153	1	the	the	DET
brj-23824	153	2	vip	vip	NOUN
brj-23824	153	3	scores	score	VERB
brj-23824	153	4	for	for	ADP
brj-23824	153	5	the	the	DET
brj-23824	153	6	top	top	ADJ
brj-23824	153	7	and	and	CCONJ
brj-23824	153	8	bottom	bottom	ADJ
brj-23824	153	9	sides	side	NOUN
brj-23824	153	10	are	be	AUX
brj-23824	153	11	shown	show	VERB
brj-23824	153	12	in	in	ADP
brj-23824	153	13	figs	fig	NOUN
brj-23824	153	14	.	.	PUNCT
brj-23824	154	1	4(a	4(a	NUM
brj-23824	154	2	)	)	PUNCT
brj-23824	154	3	and	and	CCONJ
brj-23824	154	4	4(b	4(b	NUM
brj-23824	154	5	)	)	PUNCT
brj-23824	154	6	,	,	PUNCT
brj-23824	154	7	respectively	respectively	ADV
brj-23824	154	8	.	.	PUNCT
brj-23824	155	1	note	note	VERB
brj-23824	155	2	that	that	SCONJ
brj-23824	155	3	a	a	DET
brj-23824	155	4	high	high	ADJ
brj-23824	155	5	vip	vip	NOUN
brj-23824	155	6	value	value	NOUN
brj-23824	155	7	indicates	indicate	VERB
brj-23824	155	8	that	that	SCONJ
brj-23824	155	9	the	the	DET
brj-23824	155	10	variable	variable	NOUN
brj-23824	155	11	plays	play	VERB
brj-23824	155	12	a	a	DET
brj-23824	155	13	significant	significant	ADJ
brj-23824	155	14	role	role	NOUN
brj-23824	155	15	in	in	ADP
brj-23824	155	16	distinguishing	distinguish	VERB
brj-23824	155	17	between	between	ADP
brj-23824	155	18	classes	class	NOUN
brj-23824	155	19	,	,	PUNCT
brj-23824	155	20	and	and	CCONJ
brj-23824	155	21	variables	variable	NOUN
brj-23824	155	22	with	with	ADP
brj-23824	155	23	low	low	ADJ
brj-23824	155	24	vip	vip	NOUN
brj-23824	155	25	values	value	NOUN
brj-23824	155	26	have	have	VERB
brj-23824	155	27	a	a	DET
brj-23824	155	28	minimal	minimal	ADJ
brj-23824	155	29	impact	impact	NOUN
brj-23824	155	30	on	on	ADP
brj-23824	155	31	the	the	DET
brj-23824	155	32	model	model	NOUN
brj-23824	155	33	.	.	PUNCT
brj-23824	156	1	as	as	SCONJ
brj-23824	156	2	can	can	AUX
brj-23824	156	3	be	be	AUX
brj-23824	156	4	seen	see	VERB
brj-23824	156	5	,	,	PUNCT
brj-23824	156	6	for	for	ADP
brj-23824	156	7	both	both	DET
brj-23824	156	8	sides	side	NOUN
brj-23824	156	9	,	,	PUNCT
brj-23824	156	10	the	the	DET
brj-23824	156	11	first	first	ADJ
brj-23824	156	12	five	five	NUM
brj-23824	156	13	values	value	NOUN
brj-23824	156	14	for	for	ADP
brj-23824	156	15	intensity	intensity	NOUN
brj-23824	156	16	,	,	PUNCT
brj-23824	156	17	step	step	NOUN
brj-23824	156	18	,	,	PUNCT
brj-23824	156	19	and	and	CCONJ
brj-23824	156	20	angle	angle	NOUN
brj-23824	156	21	were	be	AUX
brj-23824	156	22	identified	identify	VERB
brj-23824	156	23	as	as	ADP
brj-23824	156	24	significant	significant	ADJ
brj-23824	156	25	.	.	PUNCT
brj-23824	157	1	these	these	DET
brj-23824	157	2	results	result	NOUN
brj-23824	157	3	underscore	underscore	VERB
brj-23824	157	4	the	the	DET
brj-23824	157	5	effectiveness	effectiveness	NOUN
brj-23824	157	6	of	of	ADP
brj-23824	157	7	the	the	DET
brj-23824	157	8	pls	pls	PROPN
brj-23824	157	9	-	-	PUNCT
brj-23824	157	10	da	da	NOUN
brj-23824	157	11	model	model	NOUN
brj-23824	157	12	.	.	PUNCT
brj-23824	158	1	in	in	ADP
brj-23824	158	2	contrast	contrast	NOUN
brj-23824	158	3	,	,	PUNCT
brj-23824	158	4	the	the	DET
brj-23824	158	5	svm	svm	PROPN
brj-23824	158	6	and	and	CCONJ
brj-23824	158	7	ann	ann	PROPN
brj-23824	158	8	models	model	NOUN
brj-23824	158	9	did	do	AUX
brj-23824	158	10	not	not	PART
brj-23824	158	11	provide	provide	VERB
brj-23824	158	12	information	information	NOUN
brj-23824	158	13	about	about	ADP
brj-23824	158	14	the	the	DET
brj-23824	158	15	decision	decision	NOUN
brj-23824	158	16	-	-	PUNCT
brj-23824	158	17	making	make	VERB
brj-23824	158	18	process	process	NOUN
brj-23824	158	19	.	.	PUNCT
brj-23824	159	1	thus	thus	ADV
brj-23824	159	2	,	,	PUNCT
brj-23824	159	3	the	the	DET
brj-23824	159	4	effectiveness	effectiveness	NOUN
brj-23824	159	5	of	of	ADP
brj-23824	159	6	any	any	DET
brj-23824	159	7	model	model	NOUN
brj-23824	159	8	can	can	AUX
brj-23824	159	9	not	not	PART
brj-23824	159	10	be	be	AUX
brj-23824	159	11	substituted	substitute	VERB
brj-23824	159	12	directly	directly	ADV
brj-23824	159	13	.	.	PUNCT
brj-23824	160	1	based	base	VERB
brj-23824	160	2	on	on	ADP
brj-23824	160	3	the	the	DET
brj-23824	160	4	results	result	NOUN
brj-23824	160	5	shown	show	VERB
brj-23824	160	6	in	in	ADP
brj-23824	160	7	fig	fig	NOUN
brj-23824	160	8	.	.	PUNCT
brj-23824	161	1	4	4	NUM
brj-23824	161	2	,	,	PUNCT
brj-23824	161	3	the	the	DET
brj-23824	161	4	first	first	ADJ
brj-23824	161	5	five	five	NUM
brj-23824	161	6	values	value	NOUN
brj-23824	161	7	in	in	ADP
brj-23824	161	8	the	the	DET
brj-23824	161	9	intensity	intensity	NOUN
brj-23824	161	10	,	,	PUNCT
brj-23824	161	11	step	step	NOUN
brj-23824	161	12	,	,	PUNCT
brj-23824	161	13	and	and	CCONJ
brj-23824	161	14	angle	angle	NOUN
brj-23824	161	15	data	datum	NOUN
brj-23824	161	16	were	be	AUX
brj-23824	161	17	identified	identify	VERB
brj-23824	161	18	as	as	ADP
brj-23824	161	19	highly	highly	ADV
brj-23824	161	20	important	important	ADJ
brj-23824	161	21	features	feature	NOUN
brj-23824	161	22	according	accord	VERB
brj-23824	161	23	to	to	ADP
brj-23824	161	24	the	the	DET
brj-23824	161	25	vip	vip	NOUN
brj-23824	161	26	scores	score	NOUN
brj-23824	161	27	generated	generate	VERB
brj-23824	161	28	by	by	ADP
brj-23824	161	29	the	the	DET
brj-23824	161	30	pls	pls	PROPN
brj-23824	161	31	-	-	PUNCT
brj-23824	161	32	da	da	NOUN
brj-23824	161	33	model	model	NOUN
brj-23824	161	34	.	.	PUNCT
brj-23824	162	1	note	note	VERB
brj-23824	162	2	that	that	SCONJ
brj-23824	162	3	reducing	reduce	VERB
brj-23824	162	4	input	input	NOUN
brj-23824	162	5	variables	variable	NOUN
brj-23824	162	6	is	be	AUX
brj-23824	162	7	significant	significant	ADJ
brj-23824	162	8	to	to	PART
brj-23824	162	9	construct	construct	VERB
brj-23824	162	10	a	a	DET
brj-23824	162	11	robust	robust	ADJ
brj-23824	162	12	machine	machine	NOUN
brj-23824	162	13	learning	learning	NOUN
brj-23824	162	14	model	model	NOUN
brj-23824	162	15	.	.	PUNCT
brj-23824	163	1	excess	excess	ADJ
brj-23824	163	2	input	input	NOUN
brj-23824	163	3	variables	variable	NOUN
brj-23824	163	4	are	be	AUX
brj-23824	163	5	a	a	DET
brj-23824	163	6	primary	primary	ADJ
brj-23824	163	7	factor	factor	NOUN
brj-23824	163	8	in	in	ADP
brj-23824	163	9	increasing	increase	VERB
brj-23824	163	10	the	the	DET
brj-23824	163	11	model	model	NOUN
brj-23824	163	12	’s	’s	PART
brj-23824	163	13	computational	computational	ADJ
brj-23824	163	14	cost	cost	NOUN
brj-23824	163	15	(	(	PUNCT
brj-23824	163	16	hwang	hwang	PROPN
brj-23824	163	17	et	et	PROPN
brj-23824	163	18	al	al	PROPN
brj-23824	163	19	.	.	PROPN
brj-23824	163	20	2024	2024	NUM
brj-23824	163	21	)	)	PUNCT
brj-23824	163	22	.	.	PUNCT
brj-23824	164	1	the	the	DET
brj-23824	164	2	original	original	ADJ
brj-23824	164	3	datasets	dataset	NOUN
brj-23824	164	4	comprised	comprise	VERB
brj-23824	164	5	60	60	NUM
brj-23824	164	6	input	input	NOUN
brj-23824	164	7	variables	variable	NOUN
brj-23824	164	8	,	,	PUNCT
brj-23824	164	9	including	include	VERB
brj-23824	164	10	10	10	NUM
brj-23824	164	11	intensity	intensity	NOUN
brj-23824	164	12	,	,	PUNCT
brj-23824	164	13	step	step	NOUN
brj-23824	164	14	,	,	PUNCT
brj-23824	164	15	and	and	CCONJ
brj-23824	164	16	angle	angle	NOUN
brj-23824	164	17	data	datum	NOUN
brj-23824	164	18	points	point	NOUN
brj-23824	164	19	for	for	ADP
brj-23824	164	20	both	both	CCONJ
brj-23824	164	21	the	the	DET
brj-23824	164	22	top	top	ADJ
brj-23824	164	23	and	and	CCONJ
brj-23824	164	24	bottom	bottom	ADJ
brj-23824	164	25	sides	side	NOUN
brj-23824	164	26	.	.	PUNCT
brj-23824	165	1	based	base	VERB
brj-23824	165	2	on	on	ADP
brj-23824	165	3	the	the	DET
brj-23824	165	4	vip	vip	NOUN
brj-23824	165	5	scores	score	NOUN
brj-23824	165	6	(	(	PUNCT
brj-23824	165	7	fig	fig	NOUN
brj-23824	165	8	.	.	PUNCT
brj-23824	165	9	4	4	NUM
brj-23824	165	10	)	)	PUNCT
brj-23824	165	11	,	,	PUNCT
brj-23824	165	12	the	the	DET
brj-23824	165	13	number	number	NOUN
brj-23824	165	14	of	of	ADP
brj-23824	165	15	input	input	NOUN
brj-23824	165	16	variables	variable	NOUN
brj-23824	165	17	was	be	AUX
brj-23824	165	18	reduced	reduce	VERB
brj-23824	165	19	to	to	ADP
brj-23824	165	20	30	30	NUM
brj-23824	165	21	,	,	PUNCT
brj-23824	165	22	including	include	VERB
brj-23824	165	23	the	the	DET
brj-23824	165	24	first	first	ADJ
brj-23824	165	25	five	five	NUM
brj-23824	165	26	values	value	NOUN
brj-23824	165	27	in	in	ADP
brj-23824	165	28	the	the	DET
brj-23824	165	29	intensity	intensity	NOUN
brj-23824	165	30	,	,	PUNCT
brj-23824	165	31	step	step	NOUN
brj-23824	165	32	,	,	PUNCT
brj-23824	165	33	and	and	CCONJ
brj-23824	165	34	angle	angle	NOUN
brj-23824	165	35	data	datum	NOUN
brj-23824	165	36	for	for	ADP
brj-23824	165	37	both	both	CCONJ
brj-23824	165	38	the	the	DET
brj-23824	165	39	top	top	ADJ
brj-23824	165	40	and	and	CCONJ
brj-23824	165	41	bottom	bottom	ADJ
brj-23824	165	42	sides	side	NOUN
brj-23824	165	43	.	.	PUNCT
brj-23824	166	1	peer	peer	NOUN
brj-23824	166	2	-	-	PUNCT
brj-23824	166	3	reviewed	review	VERB
brj-23824	166	4	article__________________bioresources.cnr.ncsu.edu	article__________________bioresources.cnr.ncsu.edu	NOUN
brj-23824	166	5	lee	lee	PROPN
brj-23824	166	6	et	et	PROPN
brj-23824	166	7	al	al	PROPN
brj-23824	166	8	.	.	PROPN
brj-23824	166	9	(	(	PUNCT
brj-23824	166	10	2024	2024	NUM
brj-23824	166	11	)	)	PUNCT
brj-23824	166	12	.	.	PUNCT
brj-23824	167	1	“	"	PUNCT
brj-23824	167	2	wire	wire	NOUN
brj-23824	167	3	mark	mark	NOUN
brj-23824	167	4	as	as	ADP
brj-23824	167	5	forensic	forensic	ADJ
brj-23824	167	6	evidence	evidence	NOUN
brj-23824	167	7	,	,	PUNCT
brj-23824	167	8	”	"	PUNCT
brj-23824	167	9	bioresources	bioresource	NOUN
brj-23824	167	10	19(4	19(4	NUM
brj-23824	167	11	)	)	PUNCT
brj-23824	167	12	,	,	PUNCT
brj-23824	167	13	7591	7591	NUM
brj-23824	167	14	-	-	SYM
brj-23824	167	15	7605	7605	NUM
brj-23824	167	16	.	.	PUNCT
brj-23824	168	1	7601	7601	NUM
brj-23824	168	2	fig	fig	NOUN
brj-23824	168	3	.	.	PUNCT
brj-23824	169	1	4	4	X
brj-23824	169	2	.	.	X
brj-23824	169	3	vip	vip	NOUN
brj-23824	169	4	scores	score	NOUN
brj-23824	169	5	generated	generate	VERB
brj-23824	169	6	from	from	ADP
brj-23824	169	7	pls	pls	NOUN
brj-23824	169	8	-	-	PUNCT
brj-23824	169	9	da	da	NOUN
brj-23824	169	10	on	on	ADP
brj-23824	169	11	the	the	DET
brj-23824	169	12	(	(	PUNCT
brj-23824	169	13	a	a	NOUN
brj-23824	169	14	)	)	PUNCT
brj-23824	169	15	top	top	ADJ
brj-23824	169	16	side	side	NOUN
brj-23824	169	17	and	and	CCONJ
brj-23824	169	18	(	(	PUNCT
brj-23824	169	19	b	b	NOUN
brj-23824	169	20	)	)	PUNCT
brj-23824	169	21	bottom	bottom	ADJ
brj-23824	169	22	side	side	NOUN
brj-23824	169	23	variable	variable	ADJ
brj-23824	169	24	selection	selection	NOUN
brj-23824	169	25	the	the	DET
brj-23824	169	26	classification	classification	NOUN
brj-23824	169	27	performance	performance	NOUN
brj-23824	169	28	(	(	PUNCT
brj-23824	169	29	f1	f1	NOUN
brj-23824	169	30	-	-	PUNCT
brj-23824	169	31	score	score	NOUN
brj-23824	169	32	)	)	PUNCT
brj-23824	169	33	of	of	ADP
brj-23824	169	34	the	the	DET
brj-23824	169	35	three	three	NUM
brj-23824	169	36	models	model	NOUN
brj-23824	169	37	trained	train	VERB
brj-23824	169	38	with	with	ADP
brj-23824	169	39	the	the	DET
brj-23824	169	40	selected	select	VERB
brj-23824	169	41	variables	variable	NOUN
brj-23824	169	42	is	be	AUX
brj-23824	169	43	shown	show	VERB
brj-23824	169	44	in	in	ADP
brj-23824	169	45	fig	fig	NOUN
brj-23824	169	46	.	.	PUNCT
brj-23824	170	1	5	5	X
brj-23824	170	2	.	.	PUNCT
brj-23824	170	3	the	the	DET
brj-23824	170	4	reduction	reduction	NOUN
brj-23824	170	5	in	in	ADP
brj-23824	170	6	the	the	DET
brj-23824	170	7	number	number	NOUN
brj-23824	170	8	of	of	ADP
brj-23824	170	9	input	input	NOUN
brj-23824	170	10	variables	variable	NOUN
brj-23824	170	11	led	lead	VERB
brj-23824	170	12	to	to	PART
brj-23824	170	13	lower	lower	VERB
brj-23824	170	14	classification	classification	NOUN
brj-23824	170	15	performance	performance	NOUN
brj-23824	170	16	for	for	ADP
brj-23824	170	17	both	both	CCONJ
brj-23824	170	18	the	the	DET
brj-23824	170	19	pls	pls	PROPN
brj-23824	170	20	-	-	PUNCT
brj-23824	170	21	da	da	ADJ
brj-23824	170	22	and	and	CCONJ
brj-23824	170	23	svm	svm	ADJ
brj-23824	170	24	models	model	NOUN
brj-23824	170	25	,	,	PUNCT
brj-23824	170	26	with	with	ADP
brj-23824	170	27	f1	f1	NOUN
brj-23824	170	28	-	-	PUNCT
brj-23824	170	29	scores	score	NOUN
brj-23824	170	30	of	of	ADP
brj-23824	170	31	0.792	0.792	NUM
brj-23824	170	32	and	and	CCONJ
brj-23824	170	33	0.909	0.909	NUM
brj-23824	170	34	,	,	PUNCT
brj-23824	170	35	respectively	respectively	ADV
brj-23824	170	36	.	.	PUNCT
brj-23824	171	1	however	however	ADV
brj-23824	171	2	,	,	PUNCT
brj-23824	171	3	the	the	DET
brj-23824	171	4	softmax	softmax	NOUN
brj-23824	171	5	classifier	classifier	NOUN
brj-23824	171	6	in	in	ADP
brj-23824	171	7	the	the	DET
brj-23824	171	8	ann	ann	PROPN
brj-23824	171	9	model	model	NOUN
brj-23824	171	10	yielded	yield	VERB
brj-23824	171	11	better	well	ADJ
brj-23824	171	12	results	result	NOUN
brj-23824	171	13	despite	despite	SCONJ
brj-23824	171	14	having	have	VERB
brj-23824	171	15	a	a	DET
brj-23824	171	16	reduced	reduce	VERB
brj-23824	171	17	number	number	NOUN
brj-23824	171	18	of	of	ADP
brj-23824	171	19	input	input	NOUN
brj-23824	171	20	variables	variable	NOUN
brj-23824	171	21	.	.	PUNCT
brj-23824	172	1	these	these	DET
brj-23824	172	2	findings	finding	NOUN
brj-23824	172	3	confirm	confirm	VERB
brj-23824	172	4	the	the	DET
brj-23824	172	5	superior	superior	ADJ
brj-23824	172	6	classification	classification	NOUN
brj-23824	172	7	performance	performance	NOUN
brj-23824	172	8	of	of	ADP
brj-23824	172	9	the	the	DET
brj-23824	172	10	ann	ann	PROPN
brj-23824	172	11	model	model	NOUN
brj-23824	172	12	in	in	ADP
brj-23824	172	13	the	the	DET
brj-23824	172	14	paper	paper	NOUN
brj-23824	172	15	document	document	NOUN
brj-23824	172	16	dating	date	VERB
brj-23824	172	17	task	task	NOUN
brj-23824	172	18	using	use	VERB
brj-23824	172	19	the	the	DET
brj-23824	172	20	dataset	dataset	NOUN
brj-23824	172	21	obtained	obtain	VERB
brj-23824	172	22	from	from	ADP
brj-23824	172	23	the	the	DET
brj-23824	172	24	2d	2d	PROPN
brj-23824	172	25	-	-	PUNCT
brj-23824	172	26	f	f	NOUN
brj-23824	172	27	sensor	sensor	NOUN
brj-23824	172	28	.	.	PUNCT
brj-23824	173	1	fig	fig	NOUN
brj-23824	173	2	.	.	PUNCT
brj-23824	174	1	5	5	NUM
brj-23824	174	2	.	.	X
brj-23824	174	3	comparison	comparison	NOUN
brj-23824	174	4	of	of	ADP
brj-23824	174	5	f1	f1	NOUN
brj-23824	174	6	-	-	PUNCT
brj-23824	174	7	scores	score	NOUN
brj-23824	174	8	based	base	VERB
brj-23824	174	9	on	on	ADP
brj-23824	174	10	variable	variable	ADJ
brj-23824	174	11	selection	selection	NOUN
brj-23824	174	12	dating	date	VERB
brj-23824	174	13	of	of	ADP
brj-23824	174	14	unknown	unknown	ADJ
brj-23824	174	15	documents	document	NOUN
brj-23824	174	16	unknown	unknown	ADJ
brj-23824	174	17	samples	sample	NOUN
brj-23824	174	18	were	be	AUX
brj-23824	174	19	scanned	scan	VERB
brj-23824	174	20	at	at	ADP
brj-23824	174	21	10	10	NUM
brj-23824	174	22	different	different	ADJ
brj-23824	174	23	points	point	NOUN
brj-23824	174	24	on	on	ADP
brj-23824	174	25	the	the	DET
brj-23824	174	26	top	top	NOUN
brj-23824	174	27	and	and	CCONJ
brj-23824	174	28	bottom	bottom	NOUN
brj-23824	174	29	of	of	ADP
brj-23824	174	30	a	a	DET
brj-23824	174	31	piece	piece	NOUN
brj-23824	174	32	of	of	ADP
brj-23824	174	33	copy	copy	NOUN
brj-23824	174	34	paper	paper	NOUN
brj-23824	174	35	for	for	ADP
brj-23824	174	36	machine	machine	NOUN
brj-23824	174	37	learning	learn	VERB
brj-23824	174	38	data	datum	NOUN
brj-23824	174	39	matching	matching	NOUN
brj-23824	174	40	.	.	PUNCT
brj-23824	175	1	in	in	ADP
brj-23824	175	2	practice	practice	NOUN
brj-23824	175	3	,	,	PUNCT
brj-23824	175	4	this	this	PRON
brj-23824	175	5	might	might	AUX
brj-23824	175	6	be	be	AUX
brj-23824	175	7	an	an	DET
brj-23824	175	8	effective	effective	ADJ
brj-23824	175	9	peer	peer	NOUN
brj-23824	175	10	-	-	PUNCT
brj-23824	175	11	reviewed	review	VERB
brj-23824	175	12	article__________________bioresources.cnr.ncsu.edu	article__________________bioresources.cnr.ncsu.edu	NOUN
brj-23824	175	13	lee	lee	PROPN
brj-23824	175	14	et	et	PROPN
brj-23824	175	15	al	al	PROPN
brj-23824	175	16	.	.	PROPN
brj-23824	176	1	(	(	PUNCT
brj-23824	176	2	2024	2024	NUM
brj-23824	176	3	)	)	PUNCT
brj-23824	176	4	.	.	PUNCT
brj-23824	177	1	“	"	PUNCT
brj-23824	177	2	wire	wire	NOUN
brj-23824	177	3	mark	mark	NOUN
brj-23824	177	4	as	as	ADP
brj-23824	177	5	forensic	forensic	ADJ
brj-23824	177	6	evidence	evidence	NOUN
brj-23824	177	7	,	,	PUNCT
brj-23824	177	8	”	"	PUNCT
brj-23824	177	9	bioresources	bioresource	NOUN
brj-23824	177	10	19(4	19(4	NUM
brj-23824	177	11	)	)	PUNCT
brj-23824	177	12	,	,	PUNCT
brj-23824	177	13	7591	7591	NUM
brj-23824	177	14	-	-	SYM
brj-23824	177	15	7605	7605	NUM
brj-23824	177	16	.	.	PUNCT
brj-23824	177	17	7602	7602	NUM
brj-23824	177	18	approach	approach	NOUN
brj-23824	177	19	for	for	ADP
brj-23824	177	20	forensic	forensic	ADJ
brj-23824	177	21	document	document	NOUN
brj-23824	177	22	examiners	examiner	NOUN
brj-23824	177	23	.	.	PUNCT
brj-23824	178	1	in	in	ADP
brj-23824	178	2	terms	term	NOUN
brj-23824	178	3	of	of	ADP
brj-23824	178	4	forensic	forensic	ADJ
brj-23824	178	5	document	document	NOUN
brj-23824	178	6	inspection	inspection	NOUN
brj-23824	178	7	,	,	PUNCT
brj-23824	178	8	once	once	SCONJ
brj-23824	178	9	a	a	DET
brj-23824	178	10	dataset	dataset	NOUN
brj-23824	178	11	is	be	AUX
brj-23824	178	12	formed	form	VERB
brj-23824	178	13	,	,	PUNCT
brj-23824	178	14	the	the	DET
brj-23824	178	15	date	date	NOUN
brj-23824	178	16	of	of	ADP
brj-23824	178	17	production	production	NOUN
brj-23824	178	18	of	of	ADP
brj-23824	178	19	the	the	DET
brj-23824	178	20	questioned	question	VERB
brj-23824	178	21	document	document	NOUN
brj-23824	178	22	can	can	AUX
brj-23824	178	23	be	be	AUX
brj-23824	178	24	estimated	estimate	VERB
brj-23824	178	25	.	.	PUNCT
brj-23824	179	1	in	in	ADP
brj-23824	179	2	addition	addition	NOUN
brj-23824	179	3	,	,	PUNCT
brj-23824	179	4	the	the	DET
brj-23824	179	5	time	time	NOUN
brj-23824	179	6	-	-	PUNCT
brj-23824	179	7	consuming	consume	VERB
brj-23824	179	8	problem	problem	NOUN
brj-23824	179	9	could	could	AUX
brj-23824	179	10	be	be	AUX
brj-23824	179	11	solved	solve	VERB
brj-23824	179	12	when	when	SCONJ
brj-23824	179	13	the	the	DET
brj-23824	179	14	machine	machine	NOUN
brj-23824	179	15	learning	learn	VERB
brj-23824	179	16	algorithm	algorithm	PROPN
brj-23824	179	17	identifies	identify	VERB
brj-23824	179	18	a	a	DET
brj-23824	179	19	few	few	ADJ
brj-23824	179	20	candidates	candidate	NOUN
brj-23824	179	21	.	.	PUNCT
brj-23824	180	1	the	the	DET
brj-23824	180	2	ann	ann	PROPN
brj-23824	180	3	model	model	NOUN
brj-23824	180	4	was	be	AUX
brj-23824	180	5	employed	employ	VERB
brj-23824	180	6	to	to	PART
brj-23824	180	7	predict	predict	VERB
brj-23824	180	8	the	the	DET
brj-23824	180	9	manufacture	manufacture	NOUN
brj-23824	180	10	date	date	NOUN
brj-23824	180	11	of	of	ADP
brj-23824	180	12	the	the	DET
brj-23824	180	13	same	same	ADJ
brj-23824	180	14	products	product	NOUN
brj-23824	180	15	,	,	PUNCT
brj-23824	180	16	similar	similar	ADJ
brj-23824	180	17	to	to	ADP
brj-23824	180	18	forensic	forensic	ADJ
brj-23824	180	19	document	document	NOUN
brj-23824	180	20	examinations	examination	NOUN
brj-23824	180	21	.	.	PUNCT
brj-23824	181	1	table	table	NOUN
brj-23824	181	2	7	7	NUM
brj-23824	181	3	shows	show	VERB
brj-23824	181	4	the	the	DET
brj-23824	181	5	predicted	predict	VERB
brj-23824	181	6	probabilities	probability	NOUN
brj-23824	181	7	of	of	ADP
brj-23824	181	8	the	the	DET
brj-23824	181	9	manufacture	manufacture	NOUN
brj-23824	181	10	dates	date	VERB
brj-23824	181	11	for	for	ADP
brj-23824	181	12	three	three	NUM
brj-23824	181	13	unknown	unknown	ADJ
brj-23824	181	14	products	product	NOUN
brj-23824	181	15	derived	derive	VERB
brj-23824	181	16	from	from	ADP
brj-23824	181	17	the	the	DET
brj-23824	181	18	softmax	softmax	NOUN
brj-23824	181	19	classifier	classifier	NOUN
brj-23824	181	20	in	in	ADP
brj-23824	181	21	the	the	DET
brj-23824	181	22	ann	ann	PROPN
brj-23824	181	23	model	model	NOUN
brj-23824	181	24	.	.	PUNCT
brj-23824	182	1	here	here	ADV
brj-23824	182	2	,	,	PUNCT
brj-23824	182	3	the	the	DET
brj-23824	182	4	model	model	NOUN
brj-23824	182	5	assigned	assign	VERB
brj-23824	182	6	a	a	DET
brj-23824	182	7	93	93	NUM
brj-23824	182	8	%	%	NOUN
brj-23824	182	9	probability	probability	NOUN
brj-23824	182	10	to	to	ADP
brj-23824	182	11	unknown	unknown	ADJ
brj-23824	182	12	product	product	NOUN
brj-23824	182	13	1	1	NUM
brj-23824	182	14	of	of	ADP
brj-23824	182	15	m202008	m202008	NOUN
brj-23824	182	16	and	and	CCONJ
brj-23824	182	17	predicted	predict	VERB
brj-23824	182	18	that	that	SCONJ
brj-23824	182	19	unknown	unknown	ADJ
brj-23824	182	20	products	product	NOUN
brj-23824	182	21	2	2	NUM
brj-23824	182	22	and	and	CCONJ
brj-23824	182	23	3	3	NUM
brj-23824	182	24	were	be	AUX
brj-23824	182	25	of	of	ADP
brj-23824	182	26	m202206	m202206	NOUN
brj-23824	182	27	and	and	CCONJ
brj-23824	182	28	m202105	m202105	PROPN
brj-23824	182	29	with	with	ADP
brj-23824	182	30	probabilities	probability	NOUN
brj-23824	182	31	of	of	ADP
brj-23824	182	32	61	61	NUM
brj-23824	182	33	%	%	NOUN
brj-23824	182	34	and	and	CCONJ
brj-23824	182	35	64	64	NUM
brj-23824	182	36	%	%	NOUN
brj-23824	182	37	,	,	PUNCT
brj-23824	182	38	respectively	respectively	ADV
brj-23824	182	39	.	.	PUNCT
brj-23824	183	1	these	these	DET
brj-23824	183	2	results	result	NOUN
brj-23824	183	3	demonstrate	demonstrate	VERB
brj-23824	183	4	that	that	SCONJ
brj-23824	183	5	identifying	identify	VERB
brj-23824	183	6	the	the	DET
brj-23824	183	7	manufacture	manufacture	NOUN
brj-23824	183	8	date	date	NOUN
brj-23824	183	9	of	of	ADP
brj-23824	183	10	questioned	question	VERB
brj-23824	183	11	documents	document	NOUN
brj-23824	183	12	is	be	AUX
brj-23824	183	13	possible	possible	ADJ
brj-23824	183	14	if	if	SCONJ
brj-23824	183	15	comprehensive	comprehensive	ADJ
brj-23824	183	16	databases	database	NOUN
brj-23824	183	17	are	be	AUX
brj-23824	183	18	established	establish	VERB
brj-23824	183	19	.	.	PUNCT
brj-23824	184	1	this	this	DET
brj-23824	184	2	paper	paper	NOUN
brj-23824	184	3	demonstrates	demonstrate	VERB
brj-23824	184	4	how	how	SCONJ
brj-23824	184	5	different	different	ADJ
brj-23824	184	6	types	type	NOUN
brj-23824	184	7	of	of	ADP
brj-23824	184	8	paper	paper	NOUN
brj-23824	184	9	can	can	AUX
brj-23824	184	10	be	be	AUX
brj-23824	184	11	identified	identify	VERB
brj-23824	184	12	by	by	ADP
brj-23824	184	13	comparing	compare	VERB
brj-23824	184	14	the	the	DET
brj-23824	184	15	effectiveness	effectiveness	NOUN
brj-23824	184	16	of	of	ADP
brj-23824	184	17	established	establish	VERB
brj-23824	184	18	models	model	NOUN
brj-23824	184	19	,	,	PUNCT
brj-23824	184	20	assessing	assess	VERB
brj-23824	184	21	their	their	PRON
brj-23824	184	22	performance	performance	NOUN
brj-23824	184	23	in	in	ADP
brj-23824	184	24	order	order	NOUN
brj-23824	184	25	to	to	PART
brj-23824	184	26	demonstrate	demonstrate	VERB
brj-23824	184	27	the	the	DET
brj-23824	184	28	potential	potential	NOUN
brj-23824	184	29	for	for	ADP
brj-23824	184	30	distinguishing	distinguish	VERB
brj-23824	184	31	paper	paper	NOUN
brj-23824	184	32	documents	document	NOUN
brj-23824	184	33	.	.	PUNCT
brj-23824	185	1	however	however	ADV
brj-23824	185	2	,	,	PUNCT
brj-23824	185	3	there	there	PRON
brj-23824	185	4	are	be	VERB
brj-23824	185	5	limitations	limitation	NOUN
brj-23824	185	6	to	to	ADP
brj-23824	185	7	collecting	collect	VERB
brj-23824	185	8	all	all	DET
brj-23824	185	9	the	the	DET
brj-23824	185	10	copy	copy	NOUN
brj-23824	185	11	paper	paper	NOUN
brj-23824	185	12	on	on	ADP
brj-23824	185	13	a	a	DET
brj-23824	185	14	regular	regular	ADJ
brj-23824	185	15	basis	basis	NOUN
brj-23824	185	16	.	.	PUNCT
brj-23824	186	1	establishing	establish	VERB
brj-23824	186	2	a	a	DET
brj-23824	186	3	dataset	dataset	NOUN
brj-23824	186	4	by	by	ADP
brj-23824	186	5	collecting	collect	VERB
brj-23824	186	6	copy	copy	NOUN
brj-23824	186	7	paper	paper	NOUN
brj-23824	186	8	once	once	ADV
brj-23824	186	9	a	a	DET
brj-23824	186	10	month	month	NOUN
brj-23824	186	11	allows	allow	VERB
brj-23824	186	12	for	for	ADP
brj-23824	186	13	the	the	DET
brj-23824	186	14	potential	potential	ADJ
brj-23824	186	15	improvement	improvement	NOUN
brj-23824	186	16	of	of	ADP
brj-23824	186	17	document	document	NOUN
brj-23824	186	18	dating	date	VERB
brj-23824	186	19	accuracy	accuracy	NOUN
brj-23824	186	20	through	through	ADP
brj-23824	186	21	the	the	DET
brj-23824	186	22	use	use	NOUN
brj-23824	186	23	of	of	ADP
brj-23824	186	24	deep	deep	ADJ
brj-23824	186	25	learning	learning	NOUN
brj-23824	186	26	algorithms	algorithm	NOUN
brj-23824	186	27	with	with	ADP
brj-23824	186	28	big	big	ADJ
brj-23824	186	29	data	datum	NOUN
brj-23824	186	30	in	in	ADP
brj-23824	186	31	forensic	forensic	ADJ
brj-23824	186	32	document	document	NOUN
brj-23824	186	33	examination	examination	NOUN
brj-23824	186	34	.	.	PUNCT
brj-23824	187	1	generally	generally	ADV
brj-23824	187	2	,	,	PUNCT
brj-23824	187	3	the	the	DET
brj-23824	187	4	life	life	NOUN
brj-23824	187	5	of	of	ADP
brj-23824	187	6	the	the	DET
brj-23824	187	7	forming	form	VERB
brj-23824	187	8	fabric	fabric	NOUN
brj-23824	187	9	is	be	AUX
brj-23824	187	10	one	one	NUM
brj-23824	187	11	or	or	CCONJ
brj-23824	187	12	two	two	NUM
brj-23824	187	13	months	month	NOUN
brj-23824	187	14	,	,	PUNCT
brj-23824	187	15	and	and	CCONJ
brj-23824	187	16	new	new	ADJ
brj-23824	187	17	models	model	NOUN
brj-23824	187	18	with	with	ADP
brj-23824	187	19	the	the	DET
brj-23824	187	20	latest	late	ADJ
brj-23824	187	21	technology	technology	NOUN
brj-23824	187	22	are	be	AUX
brj-23824	187	23	continuously	continuously	ADV
brj-23824	187	24	developed	develop	VERB
brj-23824	187	25	and	and	CCONJ
brj-23824	187	26	applied	apply	VERB
brj-23824	187	27	to	to	PART
brj-23824	187	28	improve	improve	VERB
brj-23824	187	29	the	the	DET
brj-23824	187	30	retention	retention	NOUN
brj-23824	187	31	and	and	CCONJ
brj-23824	187	32	dewatering	dewatering	NOUN
brj-23824	187	33	ability	ability	NOUN
brj-23824	187	34	.	.	PUNCT
brj-23824	188	1	however	however	ADV
brj-23824	188	2	,	,	PUNCT
brj-23824	188	3	it	it	PRON
brj-23824	188	4	would	would	AUX
brj-23824	188	5	be	be	AUX
brj-23824	188	6	impossible	impossible	ADJ
brj-23824	188	7	to	to	PART
brj-23824	188	8	infer	infer	VERB
brj-23824	188	9	when	when	SCONJ
brj-23824	188	10	it	it	PRON
brj-23824	188	11	was	be	AUX
brj-23824	188	12	manufactured	manufacture	VERB
brj-23824	188	13	if	if	SCONJ
brj-23824	188	14	a	a	DET
brj-23824	188	15	manufacturer	manufacturer	NOUN
brj-23824	188	16	did	do	AUX
brj-23824	188	17	not	not	PART
brj-23824	188	18	change	change	VERB
brj-23824	188	19	the	the	DET
brj-23824	188	20	model	model	NOUN
brj-23824	188	21	for	for	ADP
brj-23824	188	22	a	a	DET
brj-23824	188	23	year	year	NOUN
brj-23824	188	24	or	or	CCONJ
brj-23824	188	25	two	two	NUM
brj-23824	188	26	.	.	PUNCT
brj-23824	189	1	furthermore	furthermore	ADV
brj-23824	189	2	,	,	PUNCT
brj-23824	189	3	supplementing	supplement	VERB
brj-23824	189	4	periodic	periodic	ADJ
brj-23824	189	5	mark	mark	NOUN
brj-23824	189	6	analysis	analysis	NOUN
brj-23824	189	7	with	with	ADP
brj-23824	189	8	additional	additional	ADJ
brj-23824	189	9	information	information	NOUN
brj-23824	189	10	obtained	obtain	VERB
brj-23824	189	11	from	from	ADP
brj-23824	189	12	techniques	technique	NOUN
brj-23824	189	13	such	such	ADJ
brj-23824	189	14	as	as	ADP
brj-23824	189	15	infrared	infrared	ADJ
brj-23824	189	16	(	(	PUNCT
brj-23824	189	17	ir	ir	NOUN
brj-23824	189	18	)	)	PUNCT
brj-23824	189	19	spectroscopy	spectroscopy	NOUN
brj-23824	189	20	,	,	PUNCT
brj-23824	189	21	raman	raman	NOUN
brj-23824	189	22	spectroscopy	spectroscopy	NOUN
brj-23824	189	23	,	,	PUNCT
brj-23824	189	24	ultraviolet	ultraviolet	NOUN
brj-23824	189	25	-	-	PUNCT
brj-23824	189	26	visible	visible	ADJ
brj-23824	189	27	-	-	PUNCT
brj-23824	189	28	near	near	ADP
brj-23824	189	29	-	-	PUNCT
brj-23824	189	30	infrared	infrared	ADJ
brj-23824	189	31	(	(	PUNCT
brj-23824	189	32	uv	uv	NOUN
brj-23824	189	33	-	-	PUNCT
brj-23824	189	34	vis	vis	X
brj-23824	189	35	-	-	ADJ
brj-23824	189	36	nir	nir	ADJ
brj-23824	189	37	)	)	PUNCT
brj-23824	189	38	spectroscopy	spectroscopy	NOUN
brj-23824	189	39	,	,	PUNCT
brj-23824	189	40	colorimetry	colorimetry	NOUN
brj-23824	189	41	,	,	PUNCT
brj-23824	189	42	and	and	CCONJ
brj-23824	189	43	fluorescence	fluorescence	NOUN
brj-23824	189	44	spectroscopy	spectroscopy	NOUN
brj-23824	189	45	could	could	AUX
brj-23824	189	46	enhance	enhance	VERB
brj-23824	189	47	the	the	DET
brj-23824	189	48	precision	precision	NOUN
brj-23824	189	49	and	and	CCONJ
brj-23824	189	50	overcome	overcome	VERB
brj-23824	189	51	its	its	PRON
brj-23824	189	52	limitations	limitation	NOUN
brj-23824	189	53	.	.	PUNCT
brj-23824	190	1	fig	fig	NOUN
brj-23824	190	2	.	.	PUNCT
brj-23824	191	1	6	6	NUM
brj-23824	191	2	.	.	X
brj-23824	191	3	pc	pc	NOUN
brj-23824	191	4	score	score	NOUN
brj-23824	191	5	plot	plot	NOUN
brj-23824	191	6	showing	show	VERB
brj-23824	191	7	the	the	DET
brj-23824	191	8	initial	initial	ADJ
brj-23824	191	9	two	two	NUM
brj-23824	191	10	pcs	pc	NOUN
brj-23824	191	11	obtained	obtain	VERB
brj-23824	191	12	from	from	ADP
brj-23824	191	13	the	the	DET
brj-23824	191	14	selected	select	VERB
brj-23824	191	15	variables	variable	NOUN
brj-23824	191	16	peer	peer	NOUN
brj-23824	191	17	-	-	PUNCT
brj-23824	191	18	reviewed	review	VERB
brj-23824	191	19	article__________________bioresources.cnr.ncsu.edu	article__________________bioresources.cnr.ncsu.edu	NOUN
brj-23824	191	20	lee	lee	PROPN
brj-23824	191	21	et	et	PROPN
brj-23824	191	22	al	al	PROPN
brj-23824	191	23	.	.	PROPN
brj-23824	192	1	(	(	PUNCT
brj-23824	192	2	2024	2024	NUM
brj-23824	192	3	)	)	PUNCT
brj-23824	192	4	.	.	PUNCT
brj-23824	193	1	“	"	PUNCT
brj-23824	193	2	wire	wire	NOUN
brj-23824	193	3	mark	mark	NOUN
brj-23824	193	4	as	as	ADP
brj-23824	193	5	forensic	forensic	ADJ
brj-23824	193	6	evidence	evidence	NOUN
brj-23824	193	7	,	,	PUNCT
brj-23824	193	8	”	"	PUNCT
brj-23824	193	9	bioresources	bioresource	NOUN
brj-23824	193	10	19(4	19(4	NUM
brj-23824	193	11	)	)	PUNCT
brj-23824	193	12	,	,	PUNCT
brj-23824	193	13	7591	7591	NUM
brj-23824	193	14	-	-	SYM
brj-23824	193	15	7605	7605	NUM
brj-23824	193	16	.	.	PUNCT
brj-23824	194	1	7603	7603	NUM
brj-23824	194	2	table	table	NOUN
brj-23824	194	3	7	7	NUM
brj-23824	194	4	.	.	PUNCT
brj-23824	194	5	predicted	predict	VERB
brj-23824	194	6	probabilities	probability	NOUN
brj-23824	194	7	for	for	ADP
brj-23824	194	8	document	document	NOUN
brj-23824	194	9	dating	date	VERB
brj-23824	194	10	of	of	ADP
brj-23824	194	11	unknown	unknown	ADJ
brj-23824	194	12	samples	sample	NOUN
brj-23824	194	13	using	use	VERB
brj-23824	194	14	the	the	DET
brj-23824	194	15	ann	ann	PROPN
brj-23824	194	16	model	model	NOUN
brj-23824	194	17	sample	sample	PROPN
brj-23824	195	1	no	no	INTJ
brj-23824	195	2	.	.	NOUN
brj-23824	195	3	1	1	NUM
brj-23824	195	4	2	2	NUM
brj-23824	195	5	3	3	NUM
brj-23824	195	6	4	4	NUM
brj-23824	195	7	5	5	NUM
brj-23824	195	8	6	6	NUM
brj-23824	195	9	7	7	NUM
brj-23824	195	10	8	8	NUM
brj-23824	195	11	9	9	NUM
brj-23824	195	12	10	10	NUM
brj-23824	195	13	11	11	NUM
brj-23824	195	14	unknown	unknown	ADJ
brj-23824	195	15	1	1	NUM
brj-23824	195	16	0.00	0.00	NUM
brj-23824	195	17	0.00	0.00	NUM
brj-23824	195	18	0.00	0.00	NUM
brj-23824	195	19	0.00	0.00	NUM
brj-23824	195	20	0.01	0.01	NUM
brj-23824	195	21	0.03	0.03	NUM
brj-23824	195	22	0.93	0.93	NUM
brj-23824	195	23	0.00	0.00	NUM
brj-23824	195	24	0.01	0.01	NUM
brj-23824	195	25	0.02	0.02	NUM
brj-23824	195	26	0.00	0.00	NUM
brj-23824	195	27	unknown	unknown	ADJ
brj-23824	195	28	2	2	NUM
brj-23824	195	29	0.00	0.00	NUM
brj-23824	195	30	0.00	0.00	NUM
brj-23824	195	31	0.00	0.00	NUM
brj-23824	195	32	0.00	0.00	NUM
brj-23824	195	33	0.12	0.12	NUM
brj-23824	195	34	0.14	0.14	NUM
brj-23824	195	35	0.11	0.11	NUM
brj-23824	195	36	0.01	0.01	NUM
brj-23824	195	37	0.61	0.61	NUM
brj-23824	195	38	0.00	0.00	NUM
brj-23824	195	39	0.00	0.00	NUM
brj-23824	195	40	unknown	unknown	ADJ
brj-23824	195	41	3	3	NUM
brj-23824	195	42	0.00	0.00	NUM
brj-23824	195	43	0.00	0.00	NUM
brj-23824	195	44	0.00	0.00	NUM
brj-23824	195	45	0.00	0.00	NUM
brj-23824	195	46	0.26	0.26	NUM
brj-23824	195	47	0.01	0.01	NUM
brj-23824	195	48	0.00	0.00	NUM
brj-23824	195	49	0.64	0.64	NUM
brj-23824	195	50	0.03	0.03	NUM
brj-23824	195	51	0.00	0.00	NUM
brj-23824	195	52	0.06	0.06	NUM
brj-23824	195	53	notes	note	NOUN
brj-23824	195	54	:	:	PUNCT
brj-23824	195	55	1	1	NUM
brj-23824	195	56	:	:	PUNCT
brj-23824	195	57	m201311	m201311	NOUN
brj-23824	195	58	;	;	PUNCT
brj-23824	195	59	2	2	NUM
brj-23824	195	60	:	:	PUNCT
brj-23824	195	61	m201511	m201511	NOUN
brj-23824	195	62	;	;	PUNCT
brj-23824	195	63	3	3	NUM
brj-23824	195	64	:	:	PUNCT
brj-23824	195	65	m201701	m201701	ADJ
brj-23824	195	66	;	;	PUNCT
brj-23824	195	67	4	4	NUM
brj-23824	195	68	:	:	PUNCT
brj-23824	195	69	m201707	m201707	NOUN
brj-23824	195	70	;	;	PUNCT
brj-23824	195	71	5	5	NUM
brj-23824	195	72	:	:	PUNCT
brj-23824	195	73	m201806	m201806	NOUN
brj-23824	195	74	;	;	PUNCT
brj-23824	195	75	6	6	NUM
brj-23824	195	76	:	:	PUNCT
brj-23824	195	77	m201907	m201907	PROPN
brj-23824	195	78	;	;	PUNCT
brj-23824	195	79	7	7	NUM
brj-23824	195	80	:	:	PUNCT
brj-23824	195	81	m202008	m202008	NOUN
brj-23824	195	82	;	;	PUNCT
brj-23824	195	83	8	8	NUM
brj-23824	195	84	:	:	PUNCT
brj-23824	195	85	m202105	m202105	NUM
brj-23824	195	86	;	;	PUNCT
brj-23824	195	87	9	9	NUM
brj-23824	195	88	:	:	PUNCT
brj-23824	195	89	m202206	m202206	NOUN
brj-23824	195	90	;	;	PUNCT
brj-23824	195	91	10	10	NUM
brj-23824	195	92	:	:	PUNCT
brj-23824	195	93	m202305	m202305	NOUN
brj-23824	195	94	;	;	PUNCT
brj-23824	195	95	11	11	NUM
brj-23824	195	96	:	:	PUNCT
brj-23824	195	97	m202404	m202404	NOUN
brj-23824	195	98	figure	figure	NOUN
brj-23824	195	99	6	6	NUM
brj-23824	195	100	shows	show	VERB
brj-23824	195	101	the	the	DET
brj-23824	195	102	unknown	unknown	ADJ
brj-23824	195	103	products	product	NOUN
brj-23824	195	104	on	on	ADP
brj-23824	195	105	the	the	DET
brj-23824	195	106	pc	pc	NOUN
brj-23824	195	107	score	score	NOUN
brj-23824	195	108	plot	plot	NOUN
brj-23824	195	109	with	with	ADP
brj-23824	195	110	other	other	ADJ
brj-23824	195	111	products	product	NOUN
brj-23824	195	112	in	in	ADP
brj-23824	195	113	the	the	DET
brj-23824	195	114	experimental	experimental	ADJ
brj-23824	195	115	dataset	dataset	NOUN
brj-23824	195	116	.	.	PUNCT
brj-23824	196	1	as	as	SCONJ
brj-23824	196	2	observed	observe	VERB
brj-23824	196	3	in	in	ADP
brj-23824	196	4	table	table	NOUN
brj-23824	196	5	7	7	NUM
brj-23824	196	6	,	,	PUNCT
brj-23824	196	7	the	the	DET
brj-23824	196	8	data	data	NOUN
brj-23824	196	9	points	point	NOUN
brj-23824	196	10	of	of	ADP
brj-23824	196	11	each	each	DET
brj-23824	196	12	unknown	unknown	ADJ
brj-23824	196	13	sample	sample	NOUN
brj-23824	196	14	were	be	AUX
brj-23824	196	15	assigned	assign	VERB
brj-23824	196	16	to	to	ADP
brj-23824	196	17	the	the	DET
brj-23824	196	18	class	class	NOUN
brj-23824	196	19	groups	group	NOUN
brj-23824	196	20	on	on	ADP
brj-23824	196	21	the	the	DET
brj-23824	196	22	pca	pca	PROPN
brj-23824	196	23	score	score	NOUN
brj-23824	196	24	plot	plot	NOUN
brj-23824	196	25	that	that	PRON
brj-23824	196	26	received	receive	VERB
brj-23824	196	27	strong	strong	ADJ
brj-23824	196	28	support	support	NOUN
brj-23824	196	29	from	from	ADP
brj-23824	196	30	the	the	DET
brj-23824	196	31	ann	ann	PROPN
brj-23824	196	32	classifier	classifier	NOUN
brj-23824	196	33	with	with	ADP
brj-23824	196	34	high	high	ADJ
brj-23824	196	35	probability	probability	NOUN
brj-23824	196	36	.	.	PUNCT
brj-23824	197	1	conclusions	conclusion	NOUN
brj-23824	197	2	1	1	X
brj-23824	197	3	.	.	PUNCT
brj-23824	198	1	the	the	DET
brj-23824	198	2	collected	collect	VERB
brj-23824	198	3	data	datum	NOUN
brj-23824	198	4	using	use	VERB
brj-23824	198	5	the	the	DET
brj-23824	198	6	2d	2d	NUM
brj-23824	198	7	-	-	PUNCT
brj-23824	198	8	f	f	NOUN
brj-23824	198	9	sensor	sensor	NOUN
brj-23824	198	10	encompassed	encompass	VERB
brj-23824	198	11	intensity	intensity	NOUN
brj-23824	198	12	,	,	PUNCT
brj-23824	198	13	angle	angle	NOUN
brj-23824	198	14	,	,	PUNCT
brj-23824	198	15	and	and	CCONJ
brj-23824	198	16	step	step	NOUN
brj-23824	198	17	information	information	NOUN
brj-23824	198	18	.	.	PUNCT
brj-23824	199	1	the	the	DET
brj-23824	199	2	angles	angle	NOUN
brj-23824	199	3	and	and	CCONJ
brj-23824	199	4	steps	step	NOUN
brj-23824	199	5	imprinted	imprint	VERB
brj-23824	199	6	on	on	ADP
brj-23824	199	7	the	the	DET
brj-23824	199	8	surface	surface	NOUN
brj-23824	199	9	of	of	ADP
brj-23824	199	10	the	the	DET
brj-23824	199	11	paper	paper	NOUN
brj-23824	199	12	during	during	ADP
brj-23824	199	13	the	the	DET
brj-23824	199	14	papermaking	papermaking	NOUN
brj-23824	199	15	process	process	NOUN
brj-23824	199	16	served	serve	VERB
brj-23824	199	17	as	as	ADP
brj-23824	199	18	key	key	ADJ
brj-23824	199	19	indicators	indicator	NOUN
brj-23824	199	20	(	(	PUNCT
brj-23824	199	21	i.e.	i.e.	X
brj-23824	199	22	,	,	PUNCT
brj-23824	199	23	paper	paper	NOUN
brj-23824	199	24	fingerprints	fingerprint	NOUN
brj-23824	199	25	)	)	PUNCT
brj-23824	199	26	for	for	ADP
brj-23824	199	27	dating	date	VERB
brj-23824	199	28	the	the	DET
brj-23824	199	29	paper	paper	NOUN
brj-23824	199	30	documents	document	NOUN
brj-23824	199	31	.	.	PUNCT
brj-23824	200	1	these	these	DET
brj-23824	200	2	distinct	distinct	ADJ
brj-23824	200	3	features	feature	NOUN
brj-23824	200	4	are	be	AUX
brj-23824	200	5	largely	largely	ADV
brj-23824	200	6	determined	determine	VERB
brj-23824	200	7	by	by	ADP
brj-23824	200	8	the	the	DET
brj-23824	200	9	time	time	NOUN
brj-23824	200	10	intervals	interval	NOUN
brj-23824	200	11	for	for	ADP
brj-23824	200	12	changing	change	VERB
brj-23824	200	13	the	the	DET
brj-23824	200	14	consumable	consumable	ADJ
brj-23824	200	15	forming	form	VERB
brj-23824	200	16	fabric	fabric	NOUN
brj-23824	200	17	.	.	PUNCT
brj-23824	201	1	2	2	X
brj-23824	201	2	.	.	X
brj-23824	201	3	the	the	DET
brj-23824	201	4	angle	angle	NOUN
brj-23824	201	5	and	and	CCONJ
brj-23824	201	6	step	step	NOUN
brj-23824	201	7	data	datum	NOUN
brj-23824	201	8	of	of	ADP
brj-23824	201	9	the	the	DET
brj-23824	201	10	periodic	periodic	ADJ
brj-23824	201	11	marks	mark	NOUN
brj-23824	201	12	were	be	AUX
brj-23824	201	13	measured	measure	VERB
brj-23824	201	14	at	at	ADP
brj-23824	201	15	the	the	DET
brj-23824	201	16	10	10	NUM
brj-23824	201	17	highest	high	ADJ
brj-23824	201	18	intensity	intensity	NOUN
brj-23824	201	19	levels	level	NOUN
brj-23824	201	20	,	,	PUNCT
brj-23824	201	21	resulting	result	VERB
brj-23824	201	22	in	in	ADP
brj-23824	201	23	a	a	DET
brj-23824	201	24	1	1	NUM
brj-23824	201	25	×	×	NOUN
brj-23824	201	26	30	30	NUM
brj-23824	201	27	array	array	NOUN
brj-23824	201	28	for	for	ADP
brj-23824	201	29	each	each	DET
brj-23824	201	30	measurement	measurement	NOUN
brj-23824	201	31	.	.	PUNCT
brj-23824	202	1	these	these	DET
brj-23824	202	2	data	datum	NOUN
brj-23824	202	3	were	be	AUX
brj-23824	202	4	used	use	VERB
brj-23824	202	5	to	to	PART
brj-23824	202	6	construct	construct	VERB
brj-23824	202	7	the	the	DET
brj-23824	202	8	classification	classification	NOUN
brj-23824	202	9	model	model	NOUN
brj-23824	202	10	,	,	PUNCT
brj-23824	202	11	with	with	ADP
brj-23824	202	12	each	each	DET
brj-23824	202	13	dataset	dataset	NOUN
brj-23824	202	14	containing	contain	VERB
brj-23824	202	15	60	60	NUM
brj-23824	202	16	variables	variable	NOUN
brj-23824	202	17	representing	represent	VERB
brj-23824	202	18	the	the	DET
brj-23824	202	19	scanned	scan	VERB
brj-23824	202	20	matrices	matrix	NOUN
brj-23824	202	21	of	of	ADP
brj-23824	202	22	both	both	CCONJ
brj-23824	202	23	the	the	DET
brj-23824	202	24	top	top	ADJ
brj-23824	202	25	and	and	CCONJ
brj-23824	202	26	bottom	bottom	ADJ
brj-23824	202	27	sides	side	NOUN
brj-23824	202	28	of	of	ADP
brj-23824	202	29	the	the	DET
brj-23824	202	30	paper	paper	NOUN
brj-23824	202	31	(	(	PUNCT
brj-23824	202	32	aligned	align	VERB
brj-23824	202	33	along	along	ADP
brj-23824	202	34	the	the	DET
brj-23824	202	35	row	row	NOUN
brj-23824	202	36	direction	direction	NOUN
brj-23824	202	37	)	)	PUNCT
brj-23824	202	38	.	.	PUNCT
brj-23824	203	1	the	the	DET
brj-23824	203	2	data	data	NOUN
brj-23824	203	3	acquisition	acquisition	NOUN
brj-23824	203	4	process	process	NOUN
brj-23824	203	5	was	be	AUX
brj-23824	203	6	repeated	repeat	VERB
brj-23824	203	7	until	until	SCONJ
brj-23824	203	8	a	a	DET
brj-23824	203	9	total	total	NOUN
brj-23824	203	10	of	of	ADP
brj-23824	203	11	50	50	NUM
brj-23824	203	12	or	or	CCONJ
brj-23824	203	13	100	100	NUM
brj-23824	203	14	samples	sample	NOUN
brj-23824	203	15	were	be	AUX
brj-23824	203	16	collected	collect	VERB
brj-23824	203	17	.	.	PUNCT
brj-23824	204	1	ultimately	ultimately	ADV
brj-23824	204	2	,	,	PUNCT
brj-23824	204	3	the	the	DET
brj-23824	204	4	classification	classification	NOUN
brj-23824	204	5	model	model	NOUN
brj-23824	204	6	was	be	AUX
brj-23824	204	7	constructed	construct	VERB
brj-23824	204	8	using	use	VERB
brj-23824	204	9	data	datum	NOUN
brj-23824	204	10	from	from	ADP
brj-23824	204	11	a	a	DET
brj-23824	204	12	total	total	NOUN
brj-23824	204	13	of	of	ADP
brj-23824	204	14	900	900	NUM
brj-23824	204	15	samples	sample	NOUN
brj-23824	204	16	3	3	NUM
brj-23824	204	17	.	.	PUNCT
brj-23824	205	1	the	the	DET
brj-23824	205	2	pls	pls	PROPN
brj-23824	205	3	-	-	PUNCT
brj-23824	205	4	da	da	ADJ
brj-23824	205	5	,	,	PUNCT
brj-23824	205	6	svm	svm	ADJ
brj-23824	205	7	,	,	PUNCT
brj-23824	205	8	and	and	CCONJ
brj-23824	205	9	ann	ann	PROPN
brj-23824	205	10	classification	classification	NOUN
brj-23824	205	11	models	model	NOUN
brj-23824	205	12	trained	train	VERB
brj-23824	205	13	on	on	ADP
brj-23824	205	14	all	all	DET
brj-23824	205	15	60	60	NUM
brj-23824	205	16	variables	variable	NOUN
brj-23824	205	17	achieved	achieve	VERB
brj-23824	205	18	f1	f1	NOUN
brj-23824	205	19	-	-	PUNCT
brj-23824	205	20	scores	score	NOUN
brj-23824	205	21	of	of	ADP
brj-23824	205	22	0.903	0.903	NUM
brj-23824	205	23	,	,	PUNCT
brj-23824	205	24	0.952	0.952	NUM
brj-23824	205	25	,	,	PUNCT
brj-23824	205	26	and	and	CCONJ
brj-23824	205	27	0.931	0.931	NUM
brj-23824	205	28	,	,	PUNCT
brj-23824	205	29	respectively	respectively	ADV
brj-23824	205	30	.	.	PUNCT
brj-23824	206	1	to	to	PART
brj-23824	206	2	enhance	enhance	VERB
brj-23824	206	3	effectiveness	effectiveness	NOUN
brj-23824	206	4	and	and	CCONJ
brj-23824	206	5	construct	construct	VERB
brj-23824	206	6	a	a	DET
brj-23824	206	7	sufficiently	sufficiently	ADV
brj-23824	206	8	robust	robust	ADJ
brj-23824	206	9	model	model	NOUN
brj-23824	206	10	,	,	PUNCT
brj-23824	206	11	variables	variable	NOUN
brj-23824	206	12	were	be	AUX
brj-23824	206	13	selected	select	VERB
brj-23824	206	14	using	use	VERB
brj-23824	206	15	the	the	DET
brj-23824	206	16	vip	vip	NOUN
brj-23824	206	17	scores	score	NOUN
brj-23824	206	18	generated	generate	VERB
brj-23824	206	19	by	by	ADP
brj-23824	206	20	the	the	DET
brj-23824	206	21	pls	pls	PROPN
brj-23824	206	22	-	-	PUNCT
brj-23824	206	23	da	da	NOUN
brj-23824	206	24	model	model	NOUN
brj-23824	206	25	,	,	PUNCT
brj-23824	206	26	corresponding	correspond	VERB
brj-23824	206	27	to	to	ADP
brj-23824	206	28	the	the	DET
brj-23824	206	29	initial	initial	ADJ
brj-23824	206	30	five	five	NUM
brj-23824	206	31	values	value	NOUN
brj-23824	206	32	of	of	ADP
brj-23824	206	33	the	the	DET
brj-23824	206	34	intensity	intensity	NOUN
brj-23824	206	35	,	,	PUNCT
brj-23824	206	36	step	step	NOUN
brj-23824	206	37	,	,	PUNCT
brj-23824	206	38	and	and	CCONJ
brj-23824	206	39	angle	angle	NOUN
brj-23824	206	40	on	on	ADP
brj-23824	206	41	both	both	CCONJ
brj-23824	206	42	the	the	DET
brj-23824	206	43	top	top	ADJ
brj-23824	206	44	and	and	CCONJ
brj-23824	206	45	bottom	bottom	ADJ
brj-23824	206	46	sides	side	NOUN
brj-23824	206	47	of	of	ADP
brj-23824	206	48	the	the	DET
brj-23824	206	49	copy	copy	NOUN
brj-23824	206	50	paper	paper	NOUN
brj-23824	206	51	.	.	PUNCT
brj-23824	207	1	the	the	DET
brj-23824	207	2	softmax	softmax	NOUN
brj-23824	207	3	classifier	classifier	NOUN
brj-23824	207	4	in	in	ADP
brj-23824	207	5	the	the	DET
brj-23824	207	6	ann	ann	PROPN
brj-23824	207	7	maintained	maintain	VERB
brj-23824	207	8	its	its	PRON
brj-23824	207	9	performance	performance	NOUN
brj-23824	207	10	with	with	ADP
brj-23824	207	11	an	an	DET
brj-23824	207	12	f1	f1	NOUN
brj-23824	207	13	-	-	PUNCT
brj-23824	207	14	score	score	NOUN
brj-23824	207	15	of	of	ADP
brj-23824	207	16	0.951	0.951	NUM
brj-23824	207	17	even	even	ADV
brj-23824	207	18	with	with	ADP
brj-23824	207	19	a	a	DET
brj-23824	207	20	50	50	NUM
brj-23824	207	21	%	%	NOUN
brj-23824	207	22	reduction	reduction	NOUN
brj-23824	207	23	in	in	ADP
brj-23824	207	24	the	the	DET
brj-23824	207	25	number	number	NOUN
brj-23824	207	26	of	of	ADP
brj-23824	207	27	input	input	NOUN
brj-23824	207	28	variables	variable	NOUN
brj-23824	207	29	.	.	PUNCT
brj-23824	208	1	4	4	X
brj-23824	208	2	.	.	X
brj-23824	208	3	the	the	DET
brj-23824	208	4	optimized	optimize	VERB
brj-23824	208	5	ann	ann	PROPN
brj-23824	208	6	model	model	NOUN
brj-23824	208	7	was	be	AUX
brj-23824	208	8	then	then	ADV
brj-23824	208	9	employed	employ	VERB
brj-23824	208	10	to	to	PART
brj-23824	208	11	predict	predict	VERB
brj-23824	208	12	the	the	DET
brj-23824	208	13	production	production	NOUN
brj-23824	208	14	date	date	NOUN
brj-23824	208	15	of	of	ADP
brj-23824	208	16	the	the	DET
brj-23824	208	17	document	document	NOUN
brj-23824	208	18	paper	paper	NOUN
brj-23824	208	19	.	.	PUNCT
brj-23824	209	1	the	the	DET
brj-23824	209	2	model	model	NOUN
brj-23824	209	3	assigned	assign	VERB
brj-23824	209	4	a	a	DET
brj-23824	209	5	93	93	NUM
brj-23824	209	6	%	%	NOUN
brj-23824	209	7	probability	probability	NOUN
brj-23824	209	8	to	to	ADP
brj-23824	209	9	unknown	unknown	ADJ
brj-23824	209	10	product	product	NOUN
brj-23824	209	11	1	1	NUM
brj-23824	209	12	being	be	AUX
brj-23824	209	13	from	from	ADP
brj-23824	209	14	m202008	m202008	NOUN
brj-23824	209	15	and	and	CCONJ
brj-23824	209	16	predicted	predict	VERB
brj-23824	209	17	that	that	SCONJ
brj-23824	209	18	unknown	unknown	ADJ
brj-23824	209	19	products	product	NOUN
brj-23824	209	20	2	2	NUM
brj-23824	209	21	and	and	CCONJ
brj-23824	209	22	3	3	NUM
brj-23824	209	23	were	be	AUX
brj-23824	209	24	from	from	ADP
brj-23824	209	25	m202206	m202206	NOUN
brj-23824	209	26	and	and	CCONJ
brj-23824	209	27	m202105	m202105	PROPN
brj-23824	209	28	with	with	ADP
brj-23824	209	29	probabilities	probability	NOUN
brj-23824	209	30	of	of	ADP
brj-23824	209	31	61	61	NUM
brj-23824	209	32	%	%	NOUN
brj-23824	209	33	and	and	CCONJ
brj-23824	209	34	64	64	NUM
brj-23824	209	35	%	%	NOUN
brj-23824	209	36	,	,	PUNCT
brj-23824	209	37	respectively	respectively	ADV
brj-23824	209	38	.	.	PUNCT
brj-23824	210	1	these	these	DET
brj-23824	210	2	results	result	NOUN
brj-23824	210	3	demonstrate	demonstrate	VERB
brj-23824	210	4	that	that	SCONJ
brj-23824	210	5	identifying	identify	VERB
brj-23824	210	6	the	the	DET
brj-23824	210	7	manufacture	manufacture	NOUN
brj-23824	210	8	date	date	NOUN
brj-23824	210	9	of	of	ADP
brj-23824	210	10	questioned	question	VERB
brj-23824	210	11	documents	document	NOUN
brj-23824	210	12	is	be	AUX
brj-23824	210	13	feasible	feasible	ADJ
brj-23824	210	14	if	if	SCONJ
brj-23824	210	15	sufficiently	sufficiently	ADV
brj-23824	210	16	comprehensive	comprehensive	ADJ
brj-23824	210	17	datasets	dataset	NOUN
brj-23824	210	18	can	can	AUX
brj-23824	210	19	be	be	AUX
brj-23824	210	20	acquired	acquire	VERB
brj-23824	210	21	.	.	PUNCT
brj-23824	211	1	acknowledgments	acknowledgment	NOUN
brj-23824	211	2	this	this	DET
brj-23824	211	3	study	study	NOUN
brj-23824	211	4	was	be	AUX
brj-23824	211	5	carried	carry	VERB
brj-23824	211	6	out	out	ADP
brj-23824	211	7	with	with	ADP
brj-23824	211	8	the	the	DET
brj-23824	211	9	support	support	NOUN
brj-23824	211	10	of	of	ADP
brj-23824	211	11	´	´	NOUN
brj-23824	211	12	r&d	r&d	NOUN
brj-23824	211	13	program	program	NOUN
brj-23824	211	14	for	for	ADP
brj-23824	211	15	forest	forest	NOUN
brj-23824	211	16	science	science	NOUN
brj-23824	211	17	technology	technology	NOUN
brj-23824	211	18	(	(	PUNCT
brj-23824	211	19	project	project	NOUN
brj-23824	211	20	no	no	INTJ
brj-23824	211	21	.	.	PUNCT
brj-23824	212	1	rs-2024	rs-2024	NOUN
brj-23824	212	2	-	-	PUNCT
brj-23824	212	3	00404816	00404816	NUM
brj-23824	212	4	)	)	PUNCT
brj-23824	213	1	´	´	NOUN
brj-23824	213	2	provided	provide	VERB
brj-23824	213	3	by	by	ADP
brj-23824	213	4	korea	korea	PROPN
brj-23824	213	5	forest	forest	PROPN
brj-23824	213	6	service	service	PROPN
brj-23824	213	7	(	(	PUNCT
brj-23824	213	8	korea	korea	PROPN
brj-23824	213	9	forestry	forestry	PROPN
brj-23824	213	10	promotion	promotion	PROPN
brj-23824	213	11	institute	institute	PROPN
brj-23824	213	12	)	)	PUNCT
brj-23824	213	13	.	.	PUNCT
brj-23824	214	1	peer	peer	NOUN
brj-23824	214	2	-	-	PUNCT
brj-23824	214	3	reviewed	review	VERB
brj-23824	214	4	article__________________bioresources.cnr.ncsu.edu	article__________________bioresources.cnr.ncsu.edu	NOUN
brj-23824	214	5	lee	lee	PROPN
brj-23824	214	6	et	et	PROPN
brj-23824	214	7	al	al	PROPN
brj-23824	214	8	.	.	PROPN
brj-23824	214	9	(	(	PUNCT
brj-23824	214	10	2024	2024	NUM
brj-23824	214	11	)	)	PUNCT
brj-23824	214	12	.	.	PUNCT
brj-23824	215	1	“	"	PUNCT
brj-23824	215	2	wire	wire	NOUN
brj-23824	215	3	mark	mark	NOUN
brj-23824	215	4	as	as	ADP
brj-23824	215	5	forensic	forensic	ADJ
brj-23824	215	6	evidence	evidence	NOUN
brj-23824	215	7	,	,	PUNCT
brj-23824	215	8	”	"	PUNCT
brj-23824	215	9	bioresources	bioresource	NOUN
brj-23824	215	10	19(4	19(4	NUM
brj-23824	215	11	)	)	PUNCT
brj-23824	215	12	,	,	PUNCT
brj-23824	215	13	7591	7591	NUM
brj-23824	215	14	-	-	SYM
brj-23824	215	15	7605	7605	NUM
brj-23824	215	16	.	.	PUNCT
brj-23824	216	1	7604	7604	NUM
brj-23824	217	1	references	reference	NOUN
brj-23824	217	2	cited	cite	VERB
brj-23824	217	3	andrasko	andrasko	ADV
brj-23824	217	4	,	,	PUNCT
brj-23824	217	5	j.	j.	PROPN
brj-23824	217	6	(	(	PUNCT
brj-23824	217	7	1996	1996	NUM
brj-23824	217	8	)	)	PUNCT
brj-23824	217	9	.	.	PUNCT
brj-23824	218	1	“	"	PUNCT
brj-23824	218	2	microreflectance	microreflectance	ADJ
brj-23824	218	3	ftir	ftir	NOUN
brj-23824	218	4	techniques	technique	NOUN
brj-23824	218	5	applied	apply	VERB
brj-23824	218	6	to	to	ADP
brj-23824	218	7	materials	material	NOUN
brj-23824	218	8	encountered	encounter	VERB
brj-23824	218	9	in	in	ADP
brj-23824	218	10	forensic	forensic	ADJ
brj-23824	218	11	examination	examination	NOUN
brj-23824	218	12	of	of	ADP
brj-23824	218	13	documents	document	NOUN
brj-23824	218	14	,	,	PUNCT
brj-23824	218	15	”	"	PUNCT
brj-23824	218	16	j.	j.	PROPN
brj-23824	218	17	forensic	forensic	PROPN
brj-23824	218	18	sci	sci	PROPN
brj-23824	218	19	.	.	PROPN
brj-23824	218	20	41(5	41(5	NUM
brj-23824	218	21	)	)	PUNCT
brj-23824	218	22	,	,	PUNCT
brj-23824	218	23	812	812	NUM
brj-23824	218	24	-	-	SYM
brj-23824	218	25	823	823	NUM
brj-23824	218	26	.	.	PUNCT
brj-23824	218	27	doi	doi	NOUN
brj-23824	218	28	:	:	PUNCT
brj-23824	218	29	10.1520	10.1520	NUM
brj-23824	218	30	/	/	SYM
brj-23824	218	31	jfs14003j	jfs14003j	PROPN
brj-23824	218	32	berger	berger	PROPN
brj-23824	218	33	,	,	PUNCT
brj-23824	218	34	c.	c.	PROPN
brj-23824	218	35	e.	e.	PROPN
brj-23824	218	36	h.	h.	PROPN
brj-23824	218	37	(	(	PUNCT
brj-23824	218	38	2009	2009	NUM
brj-23824	218	39	)	)	PUNCT
brj-23824	218	40	.	.	PUNCT
brj-23824	219	1	“	"	PUNCT
brj-23824	219	2	objective	objective	ADJ
brj-23824	219	3	paper	paper	NOUN
brj-23824	219	4	structure	structure	NOUN
brj-23824	219	5	comparison	comparison	NOUN
brj-23824	219	6	through	through	ADP
brj-23824	219	7	processing	processing	NOUN
brj-23824	219	8	of	of	ADP
brj-23824	219	9	transmitted	transmit	VERB
brj-23824	219	10	light	light	ADJ
brj-23824	219	11	images	image	NOUN
brj-23824	219	12	,	,	PUNCT
brj-23824	219	13	”	"	PUNCT
brj-23824	219	14	forensic	forensic	ADJ
brj-23824	219	15	sci	sci	PROPN
brj-23824	219	16	.	.	PUNCT
brj-23824	219	17	int	int	PROPN
brj-23824	219	18	.	.	PUNCT
brj-23824	220	1	192(1	192(1	NUM
brj-23824	220	2	-	-	SYM
brj-23824	220	3	3	3	NUM
brj-23824	220	4	)	)	PUNCT
brj-23824	220	5	,	,	PUNCT
brj-23824	220	6	1	1	NUM
brj-23824	220	7	-	-	SYM
brj-23824	220	8	6	6	NUM
brj-23824	220	9	.	.	PUNCT
brj-23824	220	10	doi	doi	NOUN
brj-23824	220	11	:	:	PUNCT
brj-23824	220	12	10.1016	10.1016	NUM
brj-23824	220	13	/	/	SYM
brj-23824	220	14	j.forsciint.2009.07.004	j.forsciint.2009.07.004	PROPN
brj-23824	220	15	bisesi	bisesi	NOUN
brj-23824	220	16	,	,	PUNCT
brj-23824	220	17	m.	m.	NOUN
brj-23824	220	18	s.	s.	PROPN
brj-23824	220	19	(	(	PUNCT
brj-23824	220	20	2006	2006	NUM
brj-23824	220	21	)	)	PUNCT
brj-23824	220	22	.	.	PUNCT
brj-23824	221	1	“	"	PUNCT
brj-23824	221	2	astm	astm	PROPN
brj-23824	221	3	guidelines	guideline	NOUN
brj-23824	221	4	for	for	ADP
brj-23824	221	5	forensic	forensic	ADJ
brj-23824	221	6	document	document	NOUN
brj-23824	221	7	examination	examination	NOUN
brj-23824	221	8	,	,	PUNCT
brj-23824	221	9	”	"	PUNCT
brj-23824	221	10	in	in	ADP
brj-23824	221	11	:	:	PUNCT
brj-23824	221	12	scientific	scientific	ADJ
brj-23824	221	13	examination	examination	NOUN
brj-23824	221	14	of	of	ADP
brj-23824	221	15	questioned	question	VERB
brj-23824	221	16	documents	document	NOUN
brj-23824	221	17	,	,	PUNCT
brj-23824	221	18	j.	j.	PROPN
brj-23824	221	19	s.	s.	PROPN
brj-23824	221	20	kelly	kelly	PROPN
brj-23824	221	21	and	and	CCONJ
brj-23824	221	22	b.	b.	PROPN
brj-23824	221	23	s.	s.	PROPN
brj-23824	221	24	lindblom	lindblom	PROPN
brj-23824	221	25	(	(	PUNCT
brj-23824	221	26	eds	ed	NOUN
brj-23824	221	27	.	.	PUNCT
brj-23824	221	28	)	)	PUNCT
brj-23824	221	29	,	,	PUNCT
brj-23824	221	30	crc	crc	NOUN
brj-23824	221	31	press	press	PROPN
brj-23824	221	32	,	,	PUNCT
brj-23824	221	33	boca	boca	PROPN
brj-23824	221	34	raton	raton	PROPN
brj-23824	221	35	,	,	PUNCT
brj-23824	221	36	fl	fl	PROPN
brj-23824	221	37	,	,	PUNCT
brj-23824	221	38	usa	usa	PROPN
brj-23824	221	39	,	,	PUNCT
brj-23824	221	40	pp	pp	ADJ
brj-23824	221	41	.	.	PUNCT
brj-23824	222	1	383	383	NUM
brj-23824	222	2	-	-	SYM
brj-23824	222	3	396	396	NUM
brj-23824	222	4	.	.	PUNCT
brj-23824	223	1	devries	devries	PROPN
brj-23824	223	2	,	,	PUNCT
brj-23824	223	3	t.	t.	PROPN
brj-23824	223	4	,	,	PUNCT
brj-23824	223	5	von	von	PROPN
brj-23824	223	6	keyserlingk	keyserlingk	PROPN
brj-23824	223	7	,	,	PUNCT
brj-23824	223	8	m.	m.	NOUN
brj-23824	223	9	,	,	PUNCT
brj-23824	223	10	weary	weary	ADJ
brj-23824	223	11	,	,	PUNCT
brj-23824	223	12	d.	d.	PROPN
brj-23824	223	13	,	,	PUNCT
brj-23824	223	14	and	and	CCONJ
brj-23824	223	15	beauchemin	beauchemin	NOUN
brj-23824	223	16	,	,	PUNCT
brj-23824	223	17	k.	k.	PROPN
brj-23824	223	18	a.	a.	PROPN
brj-23824	223	19	(	(	PUNCT
brj-23824	223	20	2003	2003	NUM
brj-23824	223	21	)	)	PUNCT
brj-23824	223	22	.	.	PUNCT
brj-23824	224	1	“	"	PUNCT
brj-23824	224	2	validation	validation	NOUN
brj-23824	224	3	of	of	ADP
brj-23824	224	4	a	a	DET
brj-23824	224	5	system	system	NOUN
brj-23824	224	6	for	for	ADP
brj-23824	224	7	monitoring	monitor	VERB
brj-23824	224	8	feeding	feeding	NOUN
brj-23824	224	9	behavior	behavior	NOUN
brj-23824	224	10	of	of	ADP
brj-23824	224	11	dairy	dairy	NOUN
brj-23824	224	12	cows	cow	NOUN
brj-23824	224	13	,	,	PUNCT
brj-23824	224	14	”	"	PUNCT
brj-23824	224	15	j.	j.	PROPN
brj-23824	224	16	dairy	dairy	PROPN
brj-23824	224	17	sci	sci	PROPN
brj-23824	224	18	.	.	PUNCT
brj-23824	224	19	86(11	86(11	NUM
brj-23824	224	20	)	)	PUNCT
brj-23824	224	21	,	,	PUNCT
brj-23824	224	22	35713574	35713574	NUM
brj-23824	224	23	.	.	PUNCT
brj-23824	225	1	doi	doi	NOUN
brj-23824	225	2	:	:	PUNCT
brj-23824	225	3	10.3168	10.3168	NUM
brj-23824	225	4	/	/	SYM
brj-23824	225	5	jds.s0022	jds.s0022	PROPN
brj-23824	225	6	-	-	PUNCT
brj-23824	225	7	0302(03)73962	0302(03)73962	NUM
brj-23824	225	8	-	-	SYM
brj-23824	225	9	9	9	NUM
brj-23824	225	10	ebara	ebara	NOUN
brj-23824	225	11	,	,	PUNCT
brj-23824	225	12	h.	h.	PROPN
brj-23824	225	13	,	,	PUNCT
brj-23824	225	14	kondo	kondo	PROPN
brj-23824	225	15	,	,	PUNCT
brj-23824	225	16	a.	a.	PROPN
brj-23824	225	17	,	,	PUNCT
brj-23824	225	18	and	and	CCONJ
brj-23824	225	19	nishida	nishida	PROPN
brj-23824	225	20	,	,	PUNCT
brj-23824	225	21	s.	s.	PROPN
brj-23824	225	22	(	(	PUNCT
brj-23824	225	23	1982	1982	NUM
brj-23824	225	24	)	)	PUNCT
brj-23824	225	25	.	.	PUNCT
brj-23824	226	1	“	"	PUNCT
brj-23824	226	2	analysis	analysis	NOUN
brj-23824	226	3	of	of	ADP
brj-23824	226	4	coated	coated	ADJ
brj-23824	226	5	and	and	CCONJ
brj-23824	226	6	non	non	ADJ
brj-23824	226	7	-	-	ADJ
brj-23824	226	8	coated	coated	ADJ
brj-23824	226	9	papers	paper	NOUN
brj-23824	226	10	by	by	ADP
brj-23824	226	11	pyrolysis	pyrolysis	NOUN
brj-23824	226	12	gas	gas	NOUN
brj-23824	226	13	-	-	PUNCT
brj-23824	226	14	chromatography	chromatography	NOUN
brj-23824	226	15	,	,	PUNCT
brj-23824	226	16	”	"	PUNCT
brj-23824	226	17	rep	rep	PROPN
brj-23824	226	18	.	.	PROPN
brj-23824	226	19	natl	natl	PROPN
brj-23824	226	20	.	.	PUNCT
brj-23824	227	1	res	res	PROPN
brj-23824	227	2	.	.	PROPN
brj-23824	227	3	inst	inst	PROPN
brj-23824	227	4	.	.	PUNCT
brj-23824	228	1	police	police	PROPN
brj-23824	228	2	sci	sci	PROPN
brj-23824	228	3	.	.	PUNCT
brj-23824	228	4	2(35	2(35	NUM
brj-23824	228	5	)	)	PUNCT
brj-23824	228	6	,	,	PUNCT
brj-23824	228	7	88	88	NUM
brj-23824	228	8	-	-	SYM
brj-23824	228	9	98	98	NUM
brj-23824	228	10	.	.	PUNCT
brj-23824	229	1	ellen	ellen	PROPN
brj-23824	229	2	,	,	PUNCT
brj-23824	229	3	d.	d.	PROPN
brj-23824	229	4	,	,	PUNCT
brj-23824	229	5	day	day	PROPN
brj-23824	229	6	,	,	PUNCT
brj-23824	229	7	s.	s.	PROPN
brj-23824	229	8	,	,	PUNCT
brj-23824	229	9	and	and	CCONJ
brj-23824	229	10	davies	davy	NOUN
brj-23824	229	11	,	,	PUNCT
brj-23824	229	12	c.	c.	NOUN
brj-23824	229	13	(	(	PUNCT
brj-23824	229	14	2018	2018	NUM
brj-23824	229	15	)	)	PUNCT
brj-23824	229	16	.	.	PUNCT
brj-23824	230	1	scientific	scientific	ADJ
brj-23824	230	2	examination	examination	NOUN
brj-23824	230	3	of	of	ADP
brj-23824	230	4	documents	document	NOUN
brj-23824	230	5	:	:	PUNCT
brj-23824	230	6	methods	method	NOUN
brj-23824	230	7	and	and	CCONJ
brj-23824	230	8	techniques	technique	NOUN
brj-23824	230	9	,	,	PUNCT
brj-23824	230	10	crc	crc	NOUN
brj-23824	230	11	press	press	PROPN
brj-23824	230	12	,	,	PUNCT
brj-23824	230	13	boca	boca	PROPN
brj-23824	230	14	raton	raton	PROPN
brj-23824	230	15	,	,	PUNCT
brj-23824	230	16	fl	fl	PROPN
brj-23824	230	17	,	,	PUNCT
brj-23824	230	18	usa	usa	PROPN
brj-23824	230	19	.	.	PROPN
brj-23824	230	20	ericksson	ericksson	PROPN
brj-23824	230	21	,	,	PUNCT
brj-23824	230	22	l.	l.	PROPN
brj-23824	230	23	,	,	PUNCT
brj-23824	230	24	johansson	johansson	PROPN
brj-23824	230	25	,	,	PUNCT
brj-23824	230	26	e.	e.	PROPN
brj-23824	230	27	,	,	PUNCT
brj-23824	230	28	kettaneh	kettaneh	PROPN
brj-23824	230	29	-	-	PUNCT
brj-23824	230	30	wold	wold	ADJ
brj-23824	230	31	,	,	PUNCT
brj-23824	230	32	n.	n.	NOUN
brj-23824	230	33	,	,	PUNCT
brj-23824	230	34	and	and	CCONJ
brj-23824	230	35	wold	wold	ADJ
brj-23824	230	36	,	,	PUNCT
brj-23824	230	37	s.	s.	PROPN
brj-23824	230	38	(	(	PUNCT
brj-23824	230	39	2001	2001	NUM
brj-23824	230	40	)	)	PUNCT
brj-23824	230	41	.	.	PUNCT
brj-23824	231	1	multi	multi	ADJ
brj-23824	231	2	-	-	ADJ
brj-23824	231	3	and	and	CCONJ
brj-23824	231	4	megavariate	megavariate	ADJ
brj-23824	231	5	data	datum	NOUN
brj-23824	231	6	analysis	analysis	NOUN
brj-23824	231	7	:	:	PUNCT
brj-23824	231	8	principles	principle	NOUN
brj-23824	231	9	and	and	CCONJ
brj-23824	231	10	applications	application	NOUN
brj-23824	231	11	,	,	PUNCT
brj-23824	231	12	umetrics	umetrics	PROPN
brj-23824	231	13	academ	academ	PROPN
brj-23824	231	14	,	,	PUNCT
brj-23824	231	15	umea	umea	ADJ
brj-23824	231	16	,	,	PUNCT
brj-23824	231	17	sweden	sweden	ADJ
brj-23824	231	18	.	.	PUNCT
brj-23824	232	1	favilla	favilla	PROPN
brj-23824	232	2	,	,	PUNCT
brj-23824	232	3	s.	s.	PROPN
brj-23824	232	4	,	,	PUNCT
brj-23824	232	5	durante	durante	PROPN
brj-23824	232	6	,	,	PUNCT
brj-23824	232	7	c.	c.	NOUN
brj-23824	232	8	,	,	PUNCT
brj-23824	232	9	vigni	vigni	NOUN
brj-23824	232	10	,	,	PUNCT
brj-23824	232	11	m.	m.	NOUN
brj-23824	232	12	l.	l.	PROPN
brj-23824	232	13	,	,	PUNCT
brj-23824	232	14	and	and	CCONJ
brj-23824	232	15	cocchi	cocchi	NOUN
brj-23824	232	16	,	,	PUNCT
brj-23824	232	17	m.	m.	NOUN
brj-23824	232	18	(	(	PUNCT
brj-23824	232	19	2013	2013	NUM
brj-23824	232	20	)	)	PUNCT
brj-23824	232	21	.	.	PUNCT
brj-23824	233	1	“	"	PUNCT
brj-23824	233	2	assessing	assess	VERB
brj-23824	233	3	feature	feature	NOUN
brj-23824	233	4	relevance	relevance	NOUN
brj-23824	233	5	in	in	ADP
brj-23824	233	6	npls	npls	NOUN
brj-23824	233	7	models	model	NOUN
brj-23824	233	8	by	by	ADP
brj-23824	233	9	vip	vip	NOUN
brj-23824	233	10	,	,	PUNCT
brj-23824	233	11	”	"	PUNCT
brj-23824	233	12	chemom	chemom	NOUN
brj-23824	233	13	.	.	PUNCT
brj-23824	234	1	intell	intell	PROPN
brj-23824	234	2	.	.	PUNCT
brj-23824	235	1	lab	lab	PROPN
brj-23824	235	2	.	.	PUNCT
brj-23824	236	1	syst	syst	PROPN
brj-23824	236	2	.	.	PUNCT
brj-23824	237	1	129	129	NUM
brj-23824	237	2	,	,	PUNCT
brj-23824	237	3	76	76	NUM
brj-23824	237	4	-	-	SYM
brj-23824	237	5	86	86	NUM
brj-23824	237	6	.	.	PUNCT
brj-23824	238	1	foner	foner	PROPN
brj-23824	238	2	,	,	PUNCT
brj-23824	238	3	h.	h.	PROPN
brj-23824	238	4	a.	a.	PROPN
brj-23824	238	5	,	,	PUNCT
brj-23824	238	6	and	and	CCONJ
brj-23824	238	7	adan	adan	PROPN
brj-23824	238	8	,	,	PUNCT
brj-23824	238	9	n.	n.	PROPN
brj-23824	238	10	(	(	PUNCT
brj-23824	238	11	1983	1983	NUM
brj-23824	238	12	)	)	PUNCT
brj-23824	238	13	.	.	PUNCT
brj-23824	239	1	“	"	PUNCT
brj-23824	239	2	the	the	DET
brj-23824	239	3	characterization	characterization	NOUN
brj-23824	239	4	of	of	ADP
brj-23824	239	5	papers	paper	NOUN
brj-23824	239	6	by	by	ADP
brj-23824	239	7	x	x	ADJ
brj-23824	239	8	-	-	NOUN
brj-23824	239	9	ray	ray	NOUN
brj-23824	239	10	diffraction	diffraction	NOUN
brj-23824	239	11	(	(	PUNCT
brj-23824	239	12	xrd	xrd	PROPN
brj-23824	239	13	):	):	PUNCT
brj-23824	239	14	measurement	measurement	NOUN
brj-23824	239	15	of	of	ADP
brj-23824	239	16	cellulose	cellulose	NOUN
brj-23824	239	17	crystallinity	crystallinity	NOUN
brj-23824	239	18	and	and	CCONJ
brj-23824	239	19	determination	determination	NOUN
brj-23824	239	20	of	of	ADP
brj-23824	239	21	mineral	mineral	NOUN
brj-23824	239	22	composition	composition	NOUN
brj-23824	239	23	,	,	PUNCT
brj-23824	239	24	”	"	PUNCT
brj-23824	239	25	j.	j.	PROPN
brj-23824	239	26	forensic	forensic	PROPN
brj-23824	239	27	sci	sci	PROPN
brj-23824	239	28	.	.	PUNCT
brj-23824	239	29	soc	soc	PROPN
brj-23824	239	30	.	.	PUNCT
brj-23824	240	1	23(4	23(4	VERB
brj-23824	240	2	)	)	PUNCT
brj-23824	240	3	,	,	PUNCT
brj-23824	240	4	313	313	NUM
brj-23824	240	5	-	-	SYM
brj-23824	240	6	321	321	NUM
brj-23824	240	7	.	.	PUNCT
brj-23824	241	1	doi	doi	NOUN
brj-23824	241	2	:	:	PUNCT
brj-23824	241	3	10.1016	10.1016	NUM
brj-23824	241	4	/	/	SYM
brj-23824	241	5	s0015	s0015	PROPN
brj-23824	241	6	-	-	PUNCT
brj-23824	241	7	7368(83)72269	7368(83)72269	NUM
brj-23824	241	8	-	-	PUNCT
brj-23824	241	9	3	3	NUM
brj-23824	241	10	galindo‐prieto	galindo‐prieto	NOUN
brj-23824	241	11	,	,	PUNCT
brj-23824	241	12	b.	b.	PROPN
brj-23824	241	13	,	,	PUNCT
brj-23824	241	14	eriksson	eriksson	PROPN
brj-23824	241	15	,	,	PUNCT
brj-23824	241	16	l.	l.	PROPN
brj-23824	241	17	,	,	PUNCT
brj-23824	241	18	and	and	CCONJ
brj-23824	241	19	trygg	trygg	ADV
brj-23824	241	20	,	,	PUNCT
brj-23824	241	21	j.	j.	PROPN
brj-23824	241	22	(	(	PUNCT
brj-23824	241	23	2014	2014	NUM
brj-23824	241	24	)	)	PUNCT
brj-23824	241	25	.	.	PUNCT
brj-23824	242	1	“	"	PUNCT
brj-23824	242	2	variable	variable	ADJ
brj-23824	242	3	influence	influence	NOUN
brj-23824	242	4	on	on	ADP
brj-23824	242	5	projection	projection	NOUN
brj-23824	242	6	(	(	PUNCT
brj-23824	242	7	vip	vip	NOUN
brj-23824	242	8	)	)	PUNCT
brj-23824	242	9	for	for	ADP
brj-23824	242	10	orthogonal	orthogonal	ADJ
brj-23824	242	11	projections	projection	NOUN
brj-23824	242	12	to	to	ADP
brj-23824	242	13	latent	latent	NOUN
brj-23824	242	14	structures	structure	NOUN
brj-23824	242	15	(	(	PUNCT
brj-23824	242	16	opls	opls	NOUN
brj-23824	242	17	)	)	PUNCT
brj-23824	242	18	,	,	PUNCT
brj-23824	242	19	”	"	PUNCT
brj-23824	242	20	j.	j.	PROPN
brj-23824	242	21	chemom	chemom	PROPN
brj-23824	242	22	.	.	PUNCT
brj-23824	243	1	28(8	28(8	NUM
brj-23824	243	2	)	)	PUNCT
brj-23824	243	3	,	,	PUNCT
brj-23824	243	4	623632	623632	NUM
brj-23824	243	5	.	.	PUNCT
brj-23824	244	1	doi	doi	NOUN
brj-23824	244	2	:	:	PUNCT
brj-23824	244	3	10.1002	10.1002	NUM
brj-23824	244	4	/	/	SYM
brj-23824	244	5	cem.2627	cem.2627	NUM
brj-23824	244	6	grant	grant	NOUN
brj-23824	244	7	,	,	PUNCT
brj-23824	244	8	j.	j.	PROPN
brj-23824	244	9	(	(	PUNCT
brj-23824	244	10	1973	1973	NUM
brj-23824	244	11	)	)	PUNCT
brj-23824	244	12	.	.	PUNCT
brj-23824	245	1	“	"	PUNCT
brj-23824	245	2	the	the	DET
brj-23824	245	3	role	role	NOUN
brj-23824	245	4	of	of	ADP
brj-23824	245	5	paper	paper	NOUN
brj-23824	245	6	in	in	ADP
brj-23824	245	7	questioned	question	VERB
brj-23824	245	8	document	document	NOUN
brj-23824	245	9	work	work	NOUN
brj-23824	245	10	,	,	PUNCT
brj-23824	245	11	”	"	PUNCT
brj-23824	245	12	j.	j.	PROPN
brj-23824	245	13	forensic	forensic	PROPN
brj-23824	245	14	sci	sci	PROPN
brj-23824	245	15	.	.	PUNCT
brj-23824	245	16	soc	soc	PROPN
brj-23824	245	17	.	.	PUNCT
brj-23824	246	1	13(2	13(2	NOUN
brj-23824	246	2	)	)	PUNCT
brj-23824	246	3	,	,	PUNCT
brj-23824	246	4	91	91	NUM
brj-23824	246	5	-	-	SYM
brj-23824	246	6	95	95	NUM
brj-23824	246	7	.	.	PUNCT
brj-23824	247	1	doi	doi	NOUN
brj-23824	247	2	:	:	PUNCT
brj-23824	247	3	10.1016	10.1016	NUM
brj-23824	247	4	/	/	SYM
brj-23824	247	5	s0015	s0015	PROPN
brj-23824	247	6	-	-	PUNCT
brj-23824	247	7	7368(73)70774	7368(73)70774	NUM
brj-23824	247	8	-	-	PUNCT
brj-23824	247	9	x	x	SYM
brj-23824	247	10	gupta	gupta	PROPN
brj-23824	247	11	,	,	PUNCT
brj-23824	247	12	r.	r.	PROPN
brj-23824	247	13	r.	r.	PROPN
brj-23824	247	14	(	(	PUNCT
brj-23824	247	15	2018	2018	NUM
brj-23824	247	16	)	)	PUNCT
brj-23824	247	17	.	.	PUNCT
brj-23824	248	1	“	"	PUNCT
brj-23824	248	2	a	a	DET
brj-23824	248	3	scientific	scientific	ADJ
brj-23824	248	4	method	method	NOUN
brj-23824	248	5	for	for	ADP
brj-23824	248	6	forensic	forensic	ADJ
brj-23824	248	7	examination	examination	NOUN
brj-23824	248	8	of	of	ADP
brj-23824	248	9	paper	paper	NOUN
brj-23824	248	10	,	,	PUNCT
brj-23824	248	11	”	"	PUNCT
brj-23824	248	12	ip	ip	PRON
brj-23824	248	13	international	international	ADJ
brj-23824	248	14	journal	journal	NOUN
brj-23824	248	15	of	of	ADP
brj-23824	248	16	forensic	forensic	ADJ
brj-23824	248	17	medicine	medicine	NOUN
brj-23824	248	18	and	and	CCONJ
brj-23824	248	19	toxicological	toxicological	ADJ
brj-23824	248	20	sciences	science	NOUN
brj-23824	248	21	3(2	3(2	NUM
brj-23824	248	22	)	)	PUNCT
brj-23824	248	23	,	,	PUNCT
brj-23824	248	24	18–20	18–20	NUM
brj-23824	248	25	.	.	PUNCT
brj-23824	249	1	doi	doi	NOUN
brj-23824	249	2	:	:	PUNCT
brj-23824	249	3	10.18231/2456	10.18231/2456	NUM
brj-23824	249	4	-	-	SYM
brj-23824	249	5	9615.2018.0005	9615.2018.0005	NUM
brj-23824	249	6	höskuldsson	höskuldsson	NOUN
brj-23824	249	7	,	,	PUNCT
brj-23824	249	8	a.	a.	NOUN
brj-23824	249	9	(	(	PUNCT
brj-23824	249	10	1988	1988	NUM
brj-23824	249	11	)	)	PUNCT
brj-23824	249	12	.	.	PUNCT
brj-23824	250	1	“	"	PUNCT
brj-23824	250	2	pls	pls	INTJ
brj-23824	250	3	regression	regression	NOUN
brj-23824	250	4	methods	method	NOUN
brj-23824	250	5	,	,	PUNCT
brj-23824	250	6	”	"	PUNCT
brj-23824	250	7	j.	j.	PROPN
brj-23824	250	8	chemom	chemom	PROPN
brj-23824	250	9	.	.	PUNCT
brj-23824	251	1	2(3	2(3	NUM
brj-23824	251	2	)	)	PUNCT
brj-23824	251	3	,	,	PUNCT
brj-23824	251	4	211	211	NUM
brj-23824	251	5	-	-	SYM
brj-23824	251	6	228	228	NUM
brj-23824	251	7	.	.	PUNCT
brj-23824	252	1	doi	doi	NOUN
brj-23824	252	2	:	:	PUNCT
brj-23824	252	3	10.1002	10.1002	NUM
brj-23824	252	4	/	/	SYM
brj-23824	252	5	cem.1180020306	cem.1180020306	PROPN
brj-23824	252	6	hwang	hwang	PROPN
brj-23824	252	7	,	,	PUNCT
brj-23824	252	8	s.-w	s.-w	PROPN
brj-23824	252	9	.	.	PUNCT
brj-23824	252	10	,	,	PUNCT
brj-23824	252	11	park	park	PROPN
brj-23824	252	12	,	,	PUNCT
brj-23824	252	13	g.	g.	PROPN
brj-23824	252	14	,	,	PUNCT
brj-23824	252	15	kim	kim	PROPN
brj-23824	252	16	,	,	PUNCT
brj-23824	252	17	j.	j.	PROPN
brj-23824	252	18	,	,	PUNCT
brj-23824	252	19	kang	kang	PROPN
brj-23824	252	20	,	,	PUNCT
brj-23824	252	21	k.-h	k.-h	PROPN
brj-23824	252	22	.	.	PUNCT
brj-23824	252	23	,	,	PUNCT
brj-23824	252	24	and	and	CCONJ
brj-23824	252	25	lee	lee	PROPN
brj-23824	252	26	,	,	PUNCT
brj-23824	252	27	w.-h	w.-h	NOUN
brj-23824	252	28	.	.	PUNCT
brj-23824	253	1	(	(	PUNCT
brj-23824	253	2	2024	2024	NUM
brj-23824	253	3	)	)	PUNCT
brj-23824	253	4	.	.	PUNCT
brj-23824	254	1	“	"	PUNCT
brj-23824	254	2	one	one	NUM
brj-23824	254	3	-	-	PUNCT
brj-23824	254	4	dimensional	dimensional	ADJ
brj-23824	254	5	convolutional	convolutional	ADJ
brj-23824	254	6	neural	neural	ADJ
brj-23824	254	7	networks	network	NOUN
brj-23824	254	8	with	with	ADP
brj-23824	254	9	infrared	infrared	ADJ
brj-23824	254	10	spectroscopy	spectroscopy	NOUN
brj-23824	254	11	for	for	ADP
brj-23824	254	12	classifying	classify	VERB
brj-23824	254	13	the	the	DET
brj-23824	254	14	origin	origin	NOUN
brj-23824	254	15	of	of	ADP
brj-23824	254	16	printing	printing	NOUN
brj-23824	254	17	paper	paper	NOUN
brj-23824	254	18	,	,	PUNCT
brj-23824	254	19	”	"	PUNCT
brj-23824	254	20	bioresources	bioresource	NOUN
brj-23824	254	21	19(1	19(1	NUM
brj-23824	254	22	)	)	PUNCT
brj-23824	254	23	,	,	PUNCT
brj-23824	254	24	1633	1633	NUM
brj-23824	254	25	-	-	SYM
brj-23824	254	26	1651	1651	NUM
brj-23824	254	27	.	.	PUNCT
brj-23824	255	1	doi	doi	NOUN
brj-23824	255	2	:	:	PUNCT
brj-23824	255	3	10.15376	10.15376	NUM
brj-23824	255	4	/	/	SYM
brj-23824	255	5	biores.19.1.1633	biores.19.1.1633	NOUN
brj-23824	255	6	-	-	PUNCT
brj-23824	255	7	1651	1651	NUM
brj-23824	255	8	kher	kher	PROPN
brj-23824	255	9	,	,	PUNCT
brj-23824	255	10	a.	a.	NOUN
brj-23824	255	11	,	,	PUNCT
brj-23824	255	12	mulholland	mulholland	NOUN
brj-23824	255	13	,	,	PUNCT
brj-23824	255	14	m.	m.	NOUN
brj-23824	255	15	,	,	PUNCT
brj-23824	255	16	reedy	reedy	PROPN
brj-23824	255	17	,	,	PUNCT
brj-23824	255	18	b.	b.	PROPN
brj-23824	255	19	,	,	PUNCT
brj-23824	255	20	and	and	CCONJ
brj-23824	255	21	maynard	maynard	NOUN
brj-23824	255	22	,	,	PUNCT
brj-23824	255	23	p.	p.	NOUN
brj-23824	255	24	(	(	PUNCT
brj-23824	255	25	2001	2001	NUM
brj-23824	255	26	)	)	PUNCT
brj-23824	255	27	.	.	PUNCT
brj-23824	256	1	“	"	PUNCT
brj-23824	256	2	classification	classification	NOUN
brj-23824	256	3	of	of	ADP
brj-23824	256	4	document	document	NOUN
brj-23824	256	5	papers	paper	NOUN
brj-23824	256	6	by	by	ADP
brj-23824	256	7	infrared	infrared	ADJ
brj-23824	256	8	spectroscopy	spectroscopy	NOUN
brj-23824	256	9	and	and	CCONJ
brj-23824	256	10	multivariate	multivariate	VERB
brj-23824	256	11	statistical	statistical	ADJ
brj-23824	256	12	techniques	technique	NOUN
brj-23824	256	13	,	,	PUNCT
brj-23824	256	14	”	"	PUNCT
brj-23824	256	15	appl	appl	NOUN
brj-23824	256	16	.	.	PROPN
brj-23824	256	17	spectrosc	spectrosc	PROPN
brj-23824	256	18	.	.	PUNCT
brj-23824	257	1	55(9	55(9	NUM
brj-23824	257	2	)	)	PUNCT
brj-23824	257	3	,	,	PUNCT
brj-23824	257	4	1192	1192	NUM
brj-23824	257	5	-	-	SYM
brj-23824	257	6	1198	1198	NUM
brj-23824	257	7	.	.	PUNCT
brj-23824	258	1	doi	doi	NOUN
brj-23824	258	2	:	:	PUNCT
brj-23824	258	3	10.1366/0003702011953199	10.1366/0003702011953199	NUM
brj-23824	258	4	kher	kher	PROPN
brj-23824	258	5	,	,	PUNCT
brj-23824	258	6	a.	a.	PROPN
brj-23824	258	7	,	,	PUNCT
brj-23824	258	8	stewart	stewart	PROPN
brj-23824	258	9	,	,	PUNCT
brj-23824	258	10	s.	s.	PROPN
brj-23824	258	11	,	,	PUNCT
brj-23824	258	12	and	and	CCONJ
brj-23824	258	13	mulholland	mulholland	NOUN
brj-23824	258	14	,	,	PUNCT
brj-23824	258	15	m.	m.	NOUN
brj-23824	258	16	(	(	PUNCT
brj-23824	258	17	2005	2005	NUM
brj-23824	258	18	)	)	PUNCT
brj-23824	258	19	.	.	PUNCT
brj-23824	259	1	“	"	PUNCT
brj-23824	259	2	forensic	forensic	ADJ
brj-23824	259	3	classification	classification	NOUN
brj-23824	259	4	of	of	ADP
brj-23824	259	5	paper	paper	NOUN
brj-23824	259	6	with	with	ADP
brj-23824	259	7	infrared	infrared	ADJ
brj-23824	259	8	spectroscopy	spectroscopy	NOUN
brj-23824	259	9	and	and	CCONJ
brj-23824	259	10	principal	principal	ADJ
brj-23824	259	11	components	component	NOUN
brj-23824	259	12	analysis	analysis	NOUN
brj-23824	259	13	,	,	PUNCT
brj-23824	259	14	”	"	PUNCT
brj-23824	259	15	j.	j.	PROPN
brj-23824	259	16	near	near	ADP
brj-23824	259	17	infrared	infrared	PROPN
brj-23824	259	18	spec	spec	PROPN
brj-23824	259	19	.	.	PUNCT
brj-23824	260	1	13(4	13(4	NUM
brj-23824	260	2	)	)	PUNCT
brj-23824	260	3	,	,	PUNCT
brj-23824	260	4	225	225	NUM
brj-23824	260	5	-	-	SYM
brj-23824	260	6	229	229	NUM
brj-23824	260	7	.	.	PUNCT
brj-23824	261	1	doi	doi	NOUN
brj-23824	261	2	:	:	PUNCT
brj-23824	261	3	10.1255	10.1255	NUM
brj-23824	261	4	/	/	SYM
brj-23824	261	5	jnirs.540	jnirs.540	PROPN
brj-23824	261	6	kuptsov	kuptsov	PROPN
brj-23824	261	7	,	,	PUNCT
brj-23824	261	8	a.	a.	PROPN
brj-23824	261	9	h.	h.	PROPN
brj-23824	261	10	(	(	PUNCT
brj-23824	261	11	1994	1994	NUM
brj-23824	261	12	)	)	PUNCT
brj-23824	261	13	.	.	PUNCT
brj-23824	262	1	“	"	PUNCT
brj-23824	262	2	applications	application	NOUN
brj-23824	262	3	of	of	ADP
brj-23824	262	4	fourier	fourier	NOUN
brj-23824	262	5	transform	transform	NOUN
brj-23824	262	6	raman	raman	NOUN
brj-23824	262	7	spectroscopy	spectroscopy	NOUN
brj-23824	262	8	in	in	ADP
brj-23824	262	9	forensic	forensic	ADJ
brj-23824	262	10	science	science	NOUN
brj-23824	262	11	,	,	PUNCT
brj-23824	262	12	”	"	PUNCT
brj-23824	262	13	j.	j.	PROPN
brj-23824	262	14	forensic	forensic	PROPN
brj-23824	262	15	sci	sci	PROPN
brj-23824	262	16	.	.	PUNCT
brj-23824	262	17	39(2	39(2	NUM
brj-23824	262	18	)	)	PUNCT
brj-23824	262	19	,	,	PUNCT
brj-23824	262	20	305	305	NUM
brj-23824	262	21	-	-	SYM
brj-23824	262	22	318	318	NUM
brj-23824	262	23	.	.	PUNCT
brj-23824	263	1	doi	doi	NOUN
brj-23824	263	2	:	:	PUNCT
brj-23824	263	3	10.1520	10.1520	NUM
brj-23824	263	4	/	/	SYM
brj-23824	263	5	jfs13604j	jfs13604j	NOUN
brj-23824	263	6	lecun	lecun	ADJ
brj-23824	263	7	,	,	PUNCT
brj-23824	263	8	y.	y.	PROPN
brj-23824	263	9	a.	a.	PROPN
brj-23824	263	10	,	,	PUNCT
brj-23824	263	11	bottou	bottou	PROPN
brj-23824	263	12	,	,	PUNCT
brj-23824	263	13	l.	l.	PROPN
brj-23824	263	14	,	,	PUNCT
brj-23824	263	15	orr	orr	PROPN
brj-23824	263	16	,	,	PUNCT
brj-23824	263	17	g.	g.	PROPN
brj-23824	263	18	b.	b.	PROPN
brj-23824	263	19	,	,	PUNCT
brj-23824	263	20	and	and	CCONJ
brj-23824	263	21	müller	müller	NOUN
brj-23824	263	22	,	,	PUNCT
brj-23824	263	23	k.-r	k.-r	PROPN
brj-23824	263	24	.	.	PUNCT
brj-23824	264	1	(	(	PUNCT
brj-23824	264	2	2012	2012	NUM
brj-23824	264	3	)	)	PUNCT
brj-23824	264	4	.	.	PUNCT
brj-23824	265	1	“	"	PUNCT
brj-23824	265	2	efficient	efficient	ADJ
brj-23824	265	3	backprop	backprop	NOUN
brj-23824	265	4	,	,	PUNCT
brj-23824	265	5	”	"	PUNCT
brj-23824	265	6	in	in	ADP
brj-23824	265	7	:	:	PUNCT
brj-23824	265	8	neural	neural	ADJ
brj-23824	265	9	networks	network	NOUN
brj-23824	265	10	:	:	PUNCT
brj-23824	265	11	tricks	trick	NOUN
brj-23824	265	12	of	of	ADP
brj-23824	265	13	the	the	DET
brj-23824	265	14	trade	trade	NOUN
brj-23824	265	15	,	,	PUNCT
brj-23824	265	16	g.	g.	PROPN
brj-23824	265	17	b.	b.	PROPN
brj-23824	265	18	orr	orr	PROPN
brj-23824	265	19	,	,	PUNCT
brj-23824	265	20	and	and	CCONJ
brj-23824	265	21	k.-r	k.-r	PROPN
brj-23824	265	22	.	.	PUNCT
brj-23824	266	1	müller	müller	PROPN
brj-23824	266	2	(	(	PUNCT
brj-23824	266	3	eds	eds	PROPN
brj-23824	266	4	.	.	PUNCT
brj-23824	266	5	)	)	PUNCT
brj-23824	266	6	,	,	PUNCT
brj-23824	266	7	springer	springer	NOUN
brj-23824	266	8	,	,	PUNCT
brj-23824	266	9	berlin	berlin	PROPN
brj-23824	266	10	,	,	PUNCT
brj-23824	266	11	germany	germany	PROPN
brj-23824	266	12	,	,	PUNCT
brj-23824	266	13	pp	pp	ADJ
brj-23824	266	14	.	.	PUNCT
brj-23824	267	1	9	9	NUM
brj-23824	267	2	-	-	SYM
brj-23824	267	3	50	50	NUM
brj-23824	267	4	.	.	PUNCT
brj-23824	268	1	doi	doi	NOUN
brj-23824	268	2	:	:	PUNCT
brj-23824	268	3	10.1007/3	10.1007/3	NUM
brj-23824	268	4	-	-	PUNCT
brj-23824	268	5	540	540	NUM
brj-23824	268	6	-	-	PUNCT
brj-23824	268	7	49430	49430	NUM
brj-23824	268	8	-	-	PUNCT
brj-23824	268	9	8_2	8_2	NUM
brj-23824	268	10	peer	peer	NOUN
brj-23824	268	11	-	-	PUNCT
brj-23824	268	12	reviewed	review	VERB
brj-23824	268	13	article__________________bioresources.cnr.ncsu.edu	article__________________bioresources.cnr.ncsu.edu	NOUN
brj-23824	268	14	lee	lee	PROPN
brj-23824	268	15	et	et	PROPN
brj-23824	268	16	al	al	PROPN
brj-23824	268	17	.	.	PROPN
brj-23824	268	18	(	(	PUNCT
brj-23824	268	19	2024	2024	NUM
brj-23824	268	20	)	)	PUNCT
brj-23824	268	21	.	.	PUNCT
brj-23824	269	1	“	"	PUNCT
brj-23824	269	2	wire	wire	NOUN
brj-23824	269	3	mark	mark	NOUN
brj-23824	269	4	as	as	ADP
brj-23824	269	5	forensic	forensic	ADJ
brj-23824	269	6	evidence	evidence	NOUN
brj-23824	269	7	,	,	PUNCT
brj-23824	269	8	”	"	PUNCT
brj-23824	269	9	bioresources	bioresource	NOUN
brj-23824	269	10	19(4	19(4	NUM
brj-23824	269	11	)	)	PUNCT
brj-23824	269	12	,	,	PUNCT
brj-23824	269	13	7591	7591	NUM
brj-23824	269	14	-	-	SYM
brj-23824	269	15	7605	7605	NUM
brj-23824	269	16	.	.	PUNCT
brj-23824	270	1	7605	7605	NUM
brj-23824	270	2	lee	lee	PROPN
brj-23824	270	3	,	,	PUNCT
brj-23824	270	4	j.	j.	PROPN
brj-23824	270	5	,	,	PUNCT
brj-23824	270	6	kim	kim	PROPN
brj-23824	270	7	,	,	PUNCT
brj-23824	270	8	h.	h.	PROPN
brj-23824	270	9	,	,	PUNCT
brj-23824	270	10	yook	yook	NOUN
brj-23824	270	11	,	,	PUNCT
brj-23824	270	12	s.	s.	PROPN
brj-23824	270	13	,	,	PUNCT
brj-23824	270	14	and	and	CCONJ
brj-23824	270	15	kang	kang	PROPN
brj-23824	270	16	,	,	PUNCT
brj-23824	270	17	t.	t.	PROPN
brj-23824	270	18	y.	y.	PROPN
brj-23824	270	19	(	(	PUNCT
brj-23824	270	20	2023	2023	NUM
brj-23824	270	21	)	)	PUNCT
brj-23824	270	22	.	.	PUNCT
brj-23824	271	1	“	"	PUNCT
brj-23824	271	2	identification	identification	NOUN
brj-23824	271	3	of	of	ADP
brj-23824	271	4	document	document	NOUN
brj-23824	271	5	paper	paper	NOUN
brj-23824	271	6	using	use	VERB
brj-23824	271	7	hybrid	hybrid	ADJ
brj-23824	271	8	feature	feature	NOUN
brj-23824	271	9	extraction	extraction	NOUN
brj-23824	271	10	,	,	PUNCT
brj-23824	271	11	”	"	PUNCT
brj-23824	271	12	j.	j.	PROPN
brj-23824	271	13	forensic	forensic	PROPN
brj-23824	271	14	sci	sci	PROPN
brj-23824	271	15	.	.	PUNCT
brj-23824	271	16	68(5	68(5	NUM
brj-23824	271	17	)	)	PUNCT
brj-23824	271	18	,	,	PUNCT
brj-23824	271	19	1808	1808	NUM
brj-23824	271	20	-	-	SYM
brj-23824	271	21	1815	1815	NUM
brj-23824	271	22	.	.	PUNCT
brj-23824	272	1	doi	doi	NOUN
brj-23824	272	2	:	:	PUNCT
brj-23824	272	3	10.1111/15564029.15330	10.1111/15564029.15330	NUM
brj-23824	272	4	miyata	miyata	NOUN
brj-23824	272	5	,	,	PUNCT
brj-23824	272	6	h.	h.	PROPN
brj-23824	272	7	,	,	PUNCT
brj-23824	272	8	shinozaki	shinozaki	PROPN
brj-23824	272	9	,	,	PUNCT
brj-23824	272	10	m.	m.	NOUN
brj-23824	272	11	,	,	PUNCT
brj-23824	272	12	nakayama	nakayama	PROPN
brj-23824	272	13	,	,	PUNCT
brj-23824	272	14	t.	t.	NOUN
brj-23824	272	15	,	,	PUNCT
brj-23824	272	16	and	and	CCONJ
brj-23824	272	17	enomae	enomae	NOUN
brj-23824	272	18	,	,	PUNCT
brj-23824	272	19	t.	t.	PROPN
brj-23824	272	20	(	(	PUNCT
brj-23824	272	21	2002	2002	NUM
brj-23824	272	22	)	)	PUNCT
brj-23824	272	23	.	.	PUNCT
brj-23824	273	1	“	"	PUNCT
brj-23824	273	2	a	a	DET
brj-23824	273	3	discrimination	discrimination	NOUN
brj-23824	273	4	method	method	NOUN
brj-23824	273	5	for	for	ADP
brj-23824	273	6	paper	paper	NOUN
brj-23824	273	7	by	by	ADP
brj-23824	273	8	fourier	fourier	NOUN
brj-23824	273	9	transform	transform	NOUN
brj-23824	273	10	and	and	CCONJ
brj-23824	273	11	cross	cross	NOUN
brj-23824	273	12	correlation	correlation	NOUN
brj-23824	273	13	,	,	PUNCT
brj-23824	273	14	”	"	PUNCT
brj-23824	273	15	j.	j.	PROPN
brj-23824	273	16	forensic	forensic	PROPN
brj-23824	273	17	sci	sci	PROPN
brj-23824	273	18	.	.	PROPN
brj-23824	273	19	47(5	47(5	PROPN
brj-23824	273	20	)	)	PUNCT
brj-23824	273	21	,	,	PUNCT
brj-23824	273	22	1125	1125	NUM
brj-23824	273	23	-	-	SYM
brj-23824	273	24	1132	1132	NUM
brj-23824	273	25	.	.	PUNCT
brj-23824	274	1	doi	doi	NOUN
brj-23824	274	2	:	:	PUNCT
brj-23824	274	3	10.1520	10.1520	NUM
brj-23824	274	4	/	/	SYM
brj-23824	274	5	jfs15491j	jfs15491j	PROPN
brj-23824	274	6	nielsen	nielsen	PROPN
brj-23824	274	7	,	,	PUNCT
brj-23824	274	8	p.	p.	PROPN
brj-23824	274	9	p.	p.	NOUN
brj-23824	275	1	(	(	PUNCT
brj-23824	275	2	2013	2013	NUM
brj-23824	275	3	)	)	PUNCT
brj-23824	275	4	.	.	PUNCT
brj-23824	276	1	“	"	PUNCT
brj-23824	276	2	automatic	automatic	ADJ
brj-23824	276	3	registration	registration	NOUN
brj-23824	276	4	of	of	ADP
brj-23824	276	5	grazing	grazing	NOUN
brj-23824	276	6	behaviour	behaviour	NOUN
brj-23824	276	7	in	in	ADP
brj-23824	276	8	dairy	dairy	NOUN
brj-23824	276	9	cows	cow	NOUN
brj-23824	276	10	using	use	VERB
brj-23824	276	11	3d	3d	NUM
brj-23824	276	12	activity	activity	NOUN
brj-23824	276	13	loggers	logger	NOUN
brj-23824	276	14	,	,	PUNCT
brj-23824	276	15	”	"	PUNCT
brj-23824	276	16	appl	appl	NOUN
brj-23824	276	17	.	.	PUNCT
brj-23824	277	1	anim	anim	PROPN
brj-23824	277	2	.	.	PUNCT
brj-23824	278	1	behav	behav	PROPN
brj-23824	278	2	.	.	PUNCT
brj-23824	279	1	sci	sci	PROPN
brj-23824	279	2	.	.	PUNCT
brj-23824	280	1	148(3	148(3	NUM
brj-23824	280	2	-	-	SYM
brj-23824	280	3	4	4	NUM
brj-23824	280	4	)	)	PUNCT
brj-23824	280	5	,	,	PUNCT
brj-23824	280	6	179	179	NUM
brj-23824	280	7	-	-	SYM
brj-23824	280	8	184	184	NUM
brj-23824	280	9	.	.	PUNCT
brj-23824	281	1	doi	doi	NOUN
brj-23824	281	2	:	:	PUNCT
brj-23824	281	3	10.1016	10.1016	NUM
brj-23824	281	4	/	/	SYM
brj-23824	281	5	j.applanim.2013.09.001	j.applanim.2013.09.001	PROPN
brj-23824	281	6	schlesinger	schlesinger	PROPN
brj-23824	281	7	,	,	PUNCT
brj-23824	281	8	h.	h.	PROPN
brj-23824	281	9	,	,	PUNCT
brj-23824	281	10	and	and	CCONJ
brj-23824	281	11	settle	settle	VERB
brj-23824	281	12	,	,	PUNCT
brj-23824	281	13	d.	d.	PROPN
brj-23824	281	14	m.	m.	PROPN
brj-23824	281	15	(	(	PUNCT
brj-23824	281	16	1971	1971	NUM
brj-23824	281	17	)	)	PUNCT
brj-23824	281	18	.	.	PUNCT
brj-23824	282	1	“	"	PUNCT
brj-23824	282	2	a	a	DET
brj-23824	282	3	large	large	ADJ
brj-23824	282	4	-	-	PUNCT
brj-23824	282	5	scale	scale	NOUN
brj-23824	282	6	study	study	NOUN
brj-23824	282	7	of	of	ADP
brj-23824	282	8	paper	paper	NOUN
brj-23824	282	9	by	by	ADP
brj-23824	282	10	neutron	neutron	NOUN
brj-23824	282	11	activation	activation	NOUN
brj-23824	282	12	analysis	analysis	NOUN
brj-23824	282	13	,	,	PUNCT
brj-23824	282	14	”	"	PUNCT
brj-23824	282	15	j.	j.	PROPN
brj-23824	282	16	forensic	forensic	PROPN
brj-23824	282	17	sci	sci	PROPN
brj-23824	282	18	.	.	PROPN
brj-23824	283	1	16(3	16(3	NUM
brj-23824	283	2	)	)	PUNCT
brj-23824	283	3	,	,	PUNCT
brj-23824	283	4	309	309	NUM
brj-23824	283	5	-	-	SYM
brj-23824	283	6	330	330	NUM
brj-23824	283	7	.	.	PUNCT
brj-23824	284	1	spence	spence	PROPN
brj-23824	284	2	,	,	PUNCT
brj-23824	284	3	l.	l.	PROPN
brj-23824	284	4	d.	d.	PROPN
brj-23824	284	5	,	,	PUNCT
brj-23824	284	6	baker	baker	PROPN
brj-23824	284	7	,	,	PUNCT
brj-23824	284	8	a.	a.	NOUN
brj-23824	284	9	t.	t.	PROPN
brj-23824	284	10	,	,	PUNCT
brj-23824	284	11	and	and	CCONJ
brj-23824	284	12	byrne	byrne	PROPN
brj-23824	284	13	,	,	PUNCT
brj-23824	284	14	j.	j.	PROPN
brj-23824	284	15	p.	p.	PROPN
brj-23824	284	16	(	(	PUNCT
brj-23824	284	17	2000	2000	NUM
brj-23824	284	18	)	)	PUNCT
brj-23824	284	19	.	.	PUNCT
brj-23824	285	1	“	"	PUNCT
brj-23824	285	2	characterization	characterization	NOUN
brj-23824	285	3	of	of	ADP
brj-23824	285	4	document	document	NOUN
brj-23824	285	5	paper	paper	NOUN
brj-23824	285	6	using	use	VERB
brj-23824	285	7	elemental	elemental	ADJ
brj-23824	285	8	compositions	composition	NOUN
brj-23824	285	9	determined	determine	VERB
brj-23824	285	10	by	by	ADP
brj-23824	285	11	inductively	inductively	ADV
brj-23824	285	12	coupled	couple	VERB
brj-23824	285	13	plasma	plasma	NOUN
brj-23824	285	14	mass	mass	NOUN
brj-23824	285	15	spectrometry	spectrometry	NOUN
brj-23824	285	16	,	,	PUNCT
brj-23824	285	17	”	"	PUNCT
brj-23824	285	18	chemom	chemom	NOUN
brj-23824	285	19	.	.	PUNCT
brj-23824	286	1	intell	intell	PROPN
brj-23824	286	2	.	.	PUNCT
brj-23824	287	1	lab	lab	PROPN
brj-23824	287	2	.	.	PUNCT
brj-23824	288	1	syst	syst	PROPN
brj-23824	288	2	.	.	PUNCT
brj-23824	289	1	15(7	15(7	NUM
brj-23824	289	2	)	)	PUNCT
brj-23824	289	3	,	,	PUNCT
brj-23824	289	4	813	813	NUM
brj-23824	289	5	-	-	SYM
brj-23824	289	6	819	819	NUM
brj-23824	289	7	.	.	PUNCT
brj-23824	289	8	doi	doi	NOUN
brj-23824	289	9	:	:	PUNCT
brj-23824	289	10	10.1016	10.1016	NUM
brj-23824	289	11	/	/	SYM
brj-23824	289	12	j.chemolab.2013.05.013	j.chemolab.2013.05.013	PROPN
brj-23824	289	13	spence	spence	PROPN
brj-23824	289	14	,	,	PUNCT
brj-23824	289	15	l.	l.	PROPN
brj-23824	289	16	d.	d.	PROPN
brj-23824	289	17	,	,	PUNCT
brj-23824	289	18	francis	francis	PROPN
brj-23824	289	19	,	,	PUNCT
brj-23824	289	20	r.	r.	PROPN
brj-23824	289	21	b.	b.	PROPN
brj-23824	289	22	,	,	PUNCT
brj-23824	289	23	and	and	CCONJ
brj-23824	289	24	tinggi	tinggi	PROPN
brj-23824	289	25	,	,	PUNCT
brj-23824	289	26	u.	u.	PROPN
brj-23824	289	27	(	(	PUNCT
brj-23824	289	28	2002	2002	NUM
brj-23824	289	29	)	)	PUNCT
brj-23824	289	30	.	.	PUNCT
brj-23824	290	1	“	"	PUNCT
brj-23824	290	2	comparison	comparison	NOUN
brj-23824	290	3	of	of	ADP
brj-23824	290	4	the	the	DET
brj-23824	290	5	elemental	elemental	ADJ
brj-23824	290	6	composition	composition	NOUN
brj-23824	290	7	of	of	ADP
brj-23824	290	8	office	office	NOUN
brj-23824	290	9	document	document	NOUN
brj-23824	290	10	paper	paper	NOUN
brj-23824	290	11	:	:	PUNCT
brj-23824	290	12	evidence	evidence	NOUN
brj-23824	290	13	in	in	ADP
brj-23824	290	14	a	a	DET
brj-23824	290	15	homicide	homicide	NOUN
brj-23824	290	16	case	case	NOUN
brj-23824	290	17	,	,	PUNCT
brj-23824	290	18	”	"	PUNCT
brj-23824	290	19	j.	j.	PROPN
brj-23824	290	20	forensic	forensic	PROPN
brj-23824	290	21	sci	sci	PROPN
brj-23824	290	22	.	.	PUNCT
brj-23824	290	23	47(3	47(3	PROPN
brj-23824	290	24	)	)	PUNCT
brj-23824	290	25	,	,	PUNCT
brj-23824	290	26	648	648	NUM
brj-23824	290	27	-	-	SYM
brj-23824	290	28	651	651	NUM
brj-23824	290	29	.	.	PUNCT
brj-23824	291	1	stocchero	stocchero	NOUN
brj-23824	291	2	,	,	PUNCT
brj-23824	291	3	m.	m.	NOUN
brj-23824	291	4	(	(	PUNCT
brj-23824	291	5	2019	2019	NUM
brj-23824	291	6	)	)	PUNCT
brj-23824	291	7	.	.	PUNCT
brj-23824	292	1	“	"	PUNCT
brj-23824	292	2	iterative	iterative	ADJ
brj-23824	292	3	deflation	deflation	NOUN
brj-23824	292	4	algorithm	algorithm	NOUN
brj-23824	292	5	,	,	PUNCT
brj-23824	292	6	eigenvalue	eigenvalue	NOUN
brj-23824	292	7	equations	equation	NOUN
brj-23824	292	8	,	,	PUNCT
brj-23824	292	9	and	and	CCONJ
brj-23824	292	10	pls2	pls2	PROPN
brj-23824	292	11	,	,	PUNCT
brj-23824	292	12	”	"	PUNCT
brj-23824	292	13	j.	j.	PROPN
brj-23824	292	14	chemom	chemom	PROPN
brj-23824	292	15	.	.	PUNCT
brj-23824	293	1	33(10	33(10	NUM
brj-23824	293	2	)	)	PUNCT
brj-23824	293	3	,	,	PUNCT
brj-23824	293	4	article	article	NOUN
brj-23824	293	5	e3144	e3144	PROPN
brj-23824	293	6	.	.	PUNCT
brj-23824	293	7	doi	doi	NOUN
brj-23824	293	8	:	:	PUNCT
brj-23824	293	9	10.1002	10.1002	NUM
brj-23824	293	10	/	/	SYM
brj-23824	293	11	cem.3144	cem.3144	PROPN
brj-23824	293	12	vert	vert	PROPN
brj-23824	293	13	,	,	PUNCT
brj-23824	293	14	j.-p	j.-p	PROPN
brj-23824	293	15	.	.	PROPN
brj-23824	293	16	,	,	PUNCT
brj-23824	293	17	tsuda	tsuda	NOUN
brj-23824	293	18	,	,	PUNCT
brj-23824	293	19	k.	k.	PROPN
brj-23824	293	20	,	,	PUNCT
brj-23824	293	21	and	and	CCONJ
brj-23824	293	22	schölkopf	schölkopf	VERB
brj-23824	293	23	,	,	PUNCT
brj-23824	293	24	b.	b.	PROPN
brj-23824	293	25	(	(	PUNCT
brj-23824	293	26	2004	2004	NUM
brj-23824	293	27	)	)	PUNCT
brj-23824	293	28	.	.	PUNCT
brj-23824	294	1	a	a	DET
brj-23824	294	2	primer	primer	NOUN
brj-23824	294	3	on	on	ADP
brj-23824	294	4	kernel	kernel	PROPN
brj-23824	294	5	methods	method	NOUN
brj-23824	294	6	,	,	PUNCT
brj-23824	294	7	mit	mit	PROPN
brj-23824	294	8	press	press	NOUN
brj-23824	294	9	,	,	PUNCT
brj-23824	294	10	cambridge	cambridge	PROPN
brj-23824	294	11	,	,	PUNCT
brj-23824	294	12	ma	ma	PROPN
brj-23824	294	13	,	,	PUNCT
brj-23824	294	14	usa	usa	PROPN
brj-23824	294	15	.	.	PROPN
brj-23824	294	16	wold	wold	PROPN
brj-23824	294	17	,	,	PUNCT
brj-23824	294	18	s.	s.	PROPN
brj-23824	294	19	,	,	PUNCT
brj-23824	294	20	johansson	johansson	PROPN
brj-23824	294	21	,	,	PUNCT
brj-23824	294	22	e.	e.	PROPN
brj-23824	294	23	,	,	PUNCT
brj-23824	294	24	and	and	CCONJ
brj-23824	294	25	cocchi	cocchi	NOUN
brj-23824	294	26	,	,	PUNCT
brj-23824	294	27	m.	m.	NOUN
brj-23824	294	28	(	(	PUNCT
brj-23824	294	29	1993	1993	NUM
brj-23824	294	30	)	)	PUNCT
brj-23824	294	31	.	.	PUNCT
brj-23824	295	1	“	"	PUNCT
brj-23824	295	2	pls	pls	INTJ
brj-23824	295	3	:	:	PUNCT
brj-23824	295	4	partial	partial	ADJ
brj-23824	295	5	least	least	ADJ
brj-23824	295	6	squares	square	NOUN
brj-23824	295	7	projections	projection	NOUN
brj-23824	295	8	to	to	ADP
brj-23824	295	9	latent	latent	NOUN
brj-23824	295	10	structures	structure	NOUN
brj-23824	295	11	,	,	PUNCT
brj-23824	295	12	”	"	PUNCT
brj-23824	295	13	in	in	ADP
brj-23824	295	14	:	:	PUNCT
brj-23824	295	15	3d	3d	NUM
brj-23824	295	16	qsar	qsar	NOUN
brj-23824	295	17	in	in	ADP
brj-23824	295	18	drug	drug	NOUN
brj-23824	295	19	design	design	NOUN
brj-23824	295	20	:	:	PUNCT
brj-23824	295	21	theory	theory	NOUN
brj-23824	295	22	,	,	PUNCT
brj-23824	295	23	methods	method	NOUN
brj-23824	295	24	and	and	CCONJ
brj-23824	295	25	applications	application	NOUN
brj-23824	295	26	,	,	PUNCT
brj-23824	295	27	kluwer	kluwer	PROPN
brj-23824	295	28	escom	escom	PROPN
brj-23824	295	29	science	science	PROPN
brj-23824	295	30	publisher	publisher	NOUN
brj-23824	295	31	,	,	PUNCT
brj-23824	295	32	dordrecht	dordrecht	PROPN
brj-23824	295	33	,	,	PUNCT
brj-23824	295	34	netherlands	netherlands	PROPN
brj-23824	295	35	,	,	PUNCT
brj-23824	295	36	pp	pp	ADJ
brj-23824	295	37	.	.	PUNCT
brj-23824	295	38	523	523	NUM
brj-23824	295	39	-	-	SYM
brj-23824	295	40	550	550	NUM
brj-23824	295	41	.	.	PUNCT
brj-23824	296	1	wold	wold	PROPN
brj-23824	296	2	,	,	PUNCT
brj-23824	296	3	s.	s.	PROPN
brj-23824	296	4	,	,	PUNCT
brj-23824	296	5	sjöström	sjöström	NOUN
brj-23824	296	6	,	,	PUNCT
brj-23824	296	7	m.	m.	NOUN
brj-23824	296	8	,	,	PUNCT
brj-23824	296	9	and	and	CCONJ
brj-23824	296	10	eriksson	eriksson	PROPN
brj-23824	296	11	,	,	PUNCT
brj-23824	296	12	l.	l.	PROPN
brj-23824	296	13	(	(	PUNCT
brj-23824	296	14	2001	2001	NUM
brj-23824	296	15	)	)	PUNCT
brj-23824	296	16	.	.	PUNCT
brj-23824	297	1	“	"	PUNCT
brj-23824	297	2	pls	pls	INTJ
brj-23824	297	3	-	-	PUNCT
brj-23824	297	4	regression	regression	NOUN
brj-23824	297	5	:	:	PUNCT
brj-23824	297	6	a	a	DET
brj-23824	297	7	basic	basic	ADJ
brj-23824	297	8	tool	tool	NOUN
brj-23824	297	9	of	of	ADP
brj-23824	297	10	chemometrics	chemometric	NOUN
brj-23824	297	11	,	,	PUNCT
brj-23824	297	12	”	"	PUNCT
brj-23824	297	13	chemom	chemom	NOUN
brj-23824	297	14	.	.	PUNCT
brj-23824	298	1	intell	intell	PROPN
brj-23824	298	2	.	.	PUNCT
brj-23824	299	1	lab	lab	PROPN
brj-23824	299	2	.	.	PUNCT
brj-23824	299	3	syst	syst	PROPN
brj-23824	299	4	.	.	PUNCT
brj-23824	300	1	58(2	58(2	NUM
brj-23824	300	2	)	)	PUNCT
brj-23824	300	3	,	,	PUNCT
brj-23824	300	4	109	109	NUM
brj-23824	300	5	-	-	SYM
brj-23824	300	6	130	130	NUM
brj-23824	300	7	.	.	PUNCT
brj-23824	301	1	doi	doi	NOUN
brj-23824	301	2	:	:	PUNCT
brj-23824	301	3	10.1016	10.1016	NUM
brj-23824	301	4	/	/	SYM
brj-23824	301	5	s01697439(01)00155	s01697439(01)00155	PROPN
brj-23824	301	6	-	-	PUNCT
brj-23824	301	7	1	1	NUM
brj-23824	301	8	xu	xu	PROPN
brj-23824	301	9	,	,	PUNCT
brj-23824	301	10	s.	s.	PROPN
brj-23824	301	11	,	,	PUNCT
brj-23824	301	12	bai	bai	PROPN
brj-23824	301	13	,	,	PUNCT
brj-23824	301	14	c.	c.	PROPN
brj-23824	301	15	,	,	PUNCT
brj-23824	301	16	chen	chen	PROPN
brj-23824	301	17	,	,	PUNCT
brj-23824	301	18	y.	y.	PROPN
brj-23824	301	19	,	,	PUNCT
brj-23824	301	20	yu	yu	PROPN
brj-23824	301	21	,	,	PUNCT
brj-23824	301	22	l.	l.	PROPN
brj-23824	301	23	,	,	PUNCT
brj-23824	301	24	wu	wu	PROPN
brj-23824	301	25	,	,	PUNCT
brj-23824	301	26	w.	w.	PROPN
brj-23824	301	27	,	,	PUNCT
brj-23824	301	28	and	and	CCONJ
brj-23824	301	29	hu	hu	PROPN
brj-23824	301	30	,	,	PUNCT
brj-23824	301	31	k.	k.	PROPN
brj-23824	301	32	(	(	PUNCT
brj-23824	301	33	2024	2024	NUM
brj-23824	301	34	)	)	PUNCT
brj-23824	301	35	.	.	PUNCT
brj-23824	302	1	“	"	PUNCT
brj-23824	302	2	comparing	compare	VERB
brj-23824	302	3	univariate	univariate	ADJ
brj-23824	302	4	filtration	filtration	NOUN
brj-23824	302	5	preceding	precede	VERB
brj-23824	302	6	and	and	CCONJ
brj-23824	302	7	succeeding	succeed	VERB
brj-23824	302	8	pls	pls	NOUN
brj-23824	302	9	-	-	PUNCT
brj-23824	302	10	da	da	NOUN
brj-23824	302	11	analysis	analysis	NOUN
brj-23824	302	12	on	on	ADP
brj-23824	302	13	the	the	DET
brj-23824	302	14	differential	differential	ADJ
brj-23824	302	15	variables	variable	NOUN
brj-23824	302	16	/	/	SYM
brj-23824	302	17	metabolites	metabolite	NOUN
brj-23824	302	18	identified	identify	VERB
brj-23824	302	19	from	from	ADP
brj-23824	302	20	untargeted	untargeted	ADJ
brj-23824	302	21	lc	lc	PROPN
brj-23824	302	22	-	-	PUNCT
brj-23824	302	23	ms	ms	NOUN
brj-23824	302	24	metabolomics	metabolomic	NOUN
brj-23824	302	25	data	datum	NOUN
brj-23824	302	26	,	,	PUNCT
brj-23824	302	27	”	"	PUNCT
brj-23824	302	28	anal	anal	NOUN
brj-23824	302	29	.	.	PUNCT
brj-23824	303	1	chim	chim	PROPN
brj-23824	303	2	.	.	PUNCT
brj-23824	304	1	acta	acta	PROPN
brj-23824	304	2	1287	1287	NUM
brj-23824	304	3	,	,	PUNCT
brj-23824	304	4	article	article	NOUN
brj-23824	304	5	342103	342103	NUM
brj-23824	304	6	.	.	PUNCT
brj-23824	305	1	doi	doi	NOUN
brj-23824	305	2	:	:	PUNCT
brj-23824	305	3	10.1016	10.1016	NUM
brj-23824	305	4	/	/	SYM
brj-23824	305	5	j.aca.2023.342103	j.aca.2023.342103	NOUN
brj-23824	305	6	article	article	NOUN
brj-23824	305	7	submitted	submit	VERB
brj-23824	305	8	:	:	PUNCT
brj-23824	305	9	july	july	PROPN
brj-23824	305	10	23	23	NUM
brj-23824	305	11	,	,	PUNCT
brj-23824	305	12	2024	2024	NUM
brj-23824	305	13	;	;	PUNCT
brj-23824	305	14	peer	peer	NOUN
brj-23824	305	15	review	review	NOUN
brj-23824	305	16	completed	complete	VERB
brj-23824	305	17	:	:	PUNCT
brj-23824	305	18	august	august	PROPN
brj-23824	305	19	7	7	NUM
brj-23824	305	20	,	,	PUNCT
brj-23824	305	21	2024	2024	NUM
brj-23824	305	22	;	;	PUNCT
brj-23824	305	23	revised	revise	VERB
brj-23824	305	24	version	version	NOUN
brj-23824	305	25	received	receive	VERB
brj-23824	305	26	:	:	PUNCT
brj-23824	305	27	august	august	PROPN
brj-23824	305	28	10	10	NUM
brj-23824	305	29	,	,	PUNCT
brj-23824	305	30	2024	2024	NUM
brj-23824	305	31	;	;	PUNCT
brj-23824	305	32	accepted	accept	VERB
brj-23824	305	33	:	:	PUNCT
brj-23824	305	34	august	august	PROPN
brj-23824	305	35	11	11	NUM
brj-23824	305	36	,	,	PUNCT
brj-23824	305	37	2024	2024	NUM
brj-23824	305	38	;	;	PUNCT
brj-23824	305	39	published	publish	VERB
brj-23824	305	40	:	:	PUNCT
brj-23824	305	41	august	august	PROPN
brj-23824	305	42	27	27	NUM
brj-23824	305	43	,	,	PUNCT
brj-23824	305	44	2024	2024	NUM
brj-23824	305	45	.	.	PUNCT
brj-23824	306	1	doi	doi	NOUN
brj-23824	306	2	:	:	PUNCT
brj-23824	306	3	10.15376	10.15376	NUM
brj-23824	306	4	/	/	SYM
brj-23824	306	5	biores.19.4.7591	biores.19.4.7591	NOUN
brj-23824	306	6	-	-	PUNCT
brj-23824	306	7	7605	7605	NUM